Maps and Mappers of the 2017 GeoHipster Calendar – Johann Dugge and Juernjakob Dugge

Johann Dugge and Juernjakob Dugge – May

Johann Dugge and Juernjakob Dugge

Tell us about yourself.

Johann: I model packing processes of consumer products like laundry detergent to optimise the package design and manufacturing lines at Procter & Gamble in their Brussels office. 

Juernjakob: I work on software for optimising water and wastewater treatment processes. So our day jobs have only little to do with mapping. However, we’ve been exposed to cartography and particularly terrain models from a young age: Our father is a geomatics engineer, and our parents have been collecting raised relief maps for as long as we can remember.

Tell us the story behind your map (what inspired you to make it, what did you learn while making it, or any other aspects of the map or its creation you would like people to know).

Juernjakob: I was following Daniel Huffman’s tutorial on generating shaded reliefs using 3D rendering software, and slightly adapted the approach by first converting the DEMs to triangulated irregular networks before rendering them. The faceted appearance reminded me of the low-poly papercraft models that have been in vogue for a while, and I thought it might be fun to build a terrain model out of paper.

Johann: In June 2015 as we were cycling over the hills of Belgium we discussed what the qualities of such a model would have to be to be considered “optimal”. When we returned home to Brussels and Stuttgart we both started to adapt existing triangulation algorithms for this specific problem. In the end I came up with a solution that strikes a good balance between terrain fidelity and having a small number of triangles, avoiding difficult-to-assemble thin and tiny triangles as much as possible. My background in numerical optimisation certainly came in handy for this.

We presented the first results at the ICA Mountain Cartography Workshop in April 2016 and received a lot of very encouraging feedback. Since then we have been working on new models – the Matterhorn is already available through our site Also keep an eye out for Mount Fuji which will be released shortly!

Tell us about the tools, data, etc., you used to make the map.

We developed the triangulation algorithm in MATLAB. The elevation data comes from the USGS National Elevation Dataset, the orthophoto from the US National Agriculture Imagery Program. The quality of publicly available data in the United States is amazing, the rest of the world still has a lot of catching up to do in this regard.

Blender is used to add the stiffening structure to the 3D model. Pepakura is an unfolding software for paper model layouts and the final touches are done in Inkscape.

Dave Smith: “Many of the most satisfied, creative and talented folks I’ve met in geo were multidisciplinarians”

Dave Smith
Dave Smith
Dave Smith is with the U.S. Environmental Protection Agency's (EPA) Office of Environmental Information in Washington D.C.  Dave has a background of over 25 years of experience in working with geospatial technologies in applications ranging from emergency response and field data collection to modeling, analysis, and web mapping. Dave is also a licensed civil engineer and professional land surveyor, where he also worked on writing code and practical applications of using computers to automate data analysis and design. He is currently working with EPA's Chief Data Scientist Robin Thottungal on building out a big data analytics cluster to improve EPA's analytical capabilities.

Outside of the office, Dave has done a lot of volunteer work with various organizations, having been a top contributor to OpenStreetMap, aiding rescue and rebuilding efforts after the 2010 Haiti earthquake, as well as supporting organizations like Red Cross, U.S. State Department, and Team Rubicon in humanitarian and disaster relief mapping. Prior to that, Dave also volunteered his engineering and geospatial knowledge to support Engineers Without Borders on potable water and sanitation infrastructure for communities in Cameroon, Honduras, Rwanda and other communities in need.

You can find Dave on Twitter at @DruidSmith and on LinkedIn at

Q: How did you get into GIS?

A: Maybe I was born to map. As a kid I grew up reading books such as Lord of the Rings and loved Tolkien’s hand-drawn maps. I started emulating his maps, creating my own maps of the locales in the fantasy and sci-fi books that I would read. You could say mapping was ingrained in me even as a pre-teen and then continued to weave its way through my life.

As a kid we lived in Germany for 10 years, and I was into scouting — I participated in both the German Pfadfinderschaft and a U.S. military-based Boy Scout troop in Germany where we would do orienteering, hiking, camping, and other activities with these wonderfully detailed, large-scale German topographic maps. These maps were essentially their version of our USGS topo quads, which had the funny-sounding name of “Messtischblatt”, as they were originally created with an alidade and plane table (“Messtisch” meaning “measuring table”) and compiled into a published map sheet (the “Blatt”).

Those scouting activities introduced me to more robust concepts like map scale and symbology, for example: differing symbols for hardwood versus pine forests, or contours and hachures to represent terrain. I started incorporating some of those concepts into the maps I would create for the fantasy realms I was reading about in my favorite books at the time. I first got into digital mapping while surveying in high school, with my first exposure to what we think of as GIS today being ARC/INFO in college.

Q: You are a licensed land surveyor and professional engineer. Do you feel that the career move to GIS was a step up from engineering and surveying? Why / why not?

A: Wow, picking between careers feels like asking a mom which is her favorite child. On the other hand, did I really ever leave one discipline for the other? In my case, the various disciplines I’ve been involved in seem to have merged and morphed, with various threads from academic and work pursuits becoming interwoven. I’ve tried steering myself toward the Venn diagram of intersecting circles of “things you enjoy” versus “things you are good at” and “things you can make a living at” to find the sweet spot where they intersect. Over time, I’ve found myself in that sweet spot.

When we moved back to the U.S. I was a teenager. One year in high school I managed to get a summer job with a land surveying firm. That job was great: getting to go out into the woods with the crew, recording a bunch of measurements, and bringing that data back into the office, reducing the notes and using the calcs to create maps. Plus, it was better money and less messy than washing dishes, landscaping, painting houses, or other summer jobs I had been doing. So, I was already a “professional mapper” when I was still in high school. It helped with school too, as I was taught about the techniques and how to do the math, which turned me into a trigonometry ninja. And, later on it helped with some of my college expenses too.

When I first started working in surveying, the company was a small mom-and-pop outfit founded in 1959. They were old school, hand-drafting maps and using transits and programmable HP calculators. Since I had taken drafting in high school they let me test my chops at drawing maps. I found myself already taking shape as a young geohipster, occasionally exercising my artistic side with artisanal hand-drawn north arrows and other creative design elements. A bit later we were in a building boom and needed to modernize to keep up. We hired additional field crews and got electronic total stations and data collectors for the field as well as computers, a plotter, and software for the office. That’s how I learned things like AutoCAD, coordinate geometry software, and digital elevation modeling. To support some of the subdivision and land development work, I also learned about stormwater runoff modeling, storm drainage, roadway design, and other civil engineering basics.

I really enjoyed working with the computers, and I taught myself how to do some automation for some of the repetitive tasks, such as LISP programming to support the CAD work, and writing code to help with many of the design calculations. At home I had a TRS-80 computer that I had saved up for and bought when I was 13. Later, in high school, I saved up and built my first homebrew PC-compatible computer from components, and was endlessly hacking around with it.

When it was time to go off to college, I still wasn’t sure what I wanted to do with myself. I started out in computer science, but became frustrated as the initial coursework seemed like a step backwards when I had already been writing code for several years. As someone interested in such a huge variety of things, whether archaeology, astronomy, or history, I changed majors several times. But I kept working summers and holidays at the surveying firm, and took surveying and civil engineering courses as those seemed a viable and responsible path for my otherwise unfocused youthful exuberance.

But one day I happily stumbled across my university’s Geography department and its GIS program, and I changed majors one final time. Here, the coursework gave me new inspirations, adding new concepts like remote sensing and satellite imagery, human geography, and interesting methodologies for analysis and spatial statistics. One of my favorite professors was Peter Gould, who taught complex statistical methods, analysis of variance, kriging, and other things; no textbook, his class was reinforced via real-world challenges and computer analyses. I recall getting something like a 43% on my first exam. Dejected, I wondered if I would make it through his class. Professor Gould walked over, patted me on the shoulder and said “great job, you got one of the top grades.” I ended up with my degree in Geography — with a specialization in Cartography, Remote Sensing, and GIS. As a student, I also got to work on some interesting projects, like working with the City of Kuala Lumpur, Malaysia on developing their GIS concept and framework.

The challenge of getting into GIS almost 30 years ago, however, was that GIS jobs were pretty scarce. I continued working in surveying and then various civil engineering firms, including working for some of the top engineering firms in the country. As things progressed, I gained enough experience to sit for the exams to become a Land Surveyor, and then for a Professional Engineer. In that engineering journey I ended up being appointed by Governor Rendell to the Pennsylvania Engineering Board overseeing licensure in the surveying, engineering, and geology fields. I chaired that Board for two years, and was heavily involved with NCEES and other organizations on examinations and other aspects of licensure.

In my engineering pursuits I found that civil engineering and GIS are interwoven. Engineering design depends on maps and data, and I was often called on to help out with urban and regional planning. In the early 1990s I was involved in one of the largest land use analyses east of the Mississippi. It required assembling huge amounts of data across paper maps, disparate files, and databases. This project required a lot of digitization, data optimization and management, data reprojection, and data transformation before we could even get to analysis and mapping. Nowadays the GIS kids just push a button; we old timers had to do it uphill, both ways, in 4 feet of snow – and remind me to tell you about the couple of weeks I spent surveying up on the Canadian border, waist deep in snow. At any rate, I ended up writing a bunch of homebrew GIS code to augment and extend the commercial tools we had. In the engineering world I also did a lot of work with hydrology and modeling, HEC-2 water surface profiles, transportation networks, even 3D modeling and rendering, and the worlds of engineering, GIS and code became more and more blurred over the years.

To this day I still rely on engineering principles, like solving complex technical challenges by deconstructing them into their constituent parts, trying to understand the interconnections and dependencies, and figuring out an architecture — whether hydrologic networks, transportation systems, or IT architectures, there are a lot of engineering principles and techniques for approaching them.

Q: How and why did you end up at the EPA?

A: I like to challenge myself and try new things. So, around 12 years ago, I took a big step and started a consulting at an engineering and GIS firm. Eventually, I teamed up with a guy who was also doing environmental and GIS consulting. As my partner was a disabled veteran, we structured as a Service-Connected Disabled Veteran Owned Small Business (SDVOSB), and we approached some larger government contractors about providing geospatial capabilities as a subcontractor. We quickly ended up working as a niche geospatial consultant with companies like Lockheed Martin, Raytheon, and CGI Federal on a variety of interesting projects for the military and other agencies. But because both of us were more interested in environmental protection, we put our main focus on EPA. We provided EPA with GIS support for Hurricane Katrina, and worked on many of EPA’s public-facing web mapping capabilities. While the company grew, I started to tire from the challenges of running a small business; the feast and famine cycles, writing endless proposals, and bouncing from customer to customer, when I really wanted to focus most on supporting a mission around using GIS to understand our environment and help protect it.

During the course of our EPA contracting, I learned that an EPA colleague was retiring. He had been managing EPA’s Facility Registry Service, which integrates and conflates geospatial data from many systems for millions of facilities and sites, and which serves as a geospatial underpinning for a lot of what EPA does. I knew the system well, and when the job announcement came out, I applied and got an offer.

Since then, I’ve been innovating with EPA. Here, I work with groups like the Homeland Infrastructure Foundation Level Data Workgroup (HIFLD) to provide new datasets to support emergency response. I cut costs through automation, improve match logic, and develop web services, including a reusable widget for reporting applications. The widget retrieves and prepopulates information, it validates, standardizes, and geocodes locations. It also allows users to fine-tune the location via a web map. It has since been deployed to a half dozen reporting systems, improved data quality at the source, and helped reduce burden significantly (140,000 hours of annual burden in one program).

Q: What do you do for the EPA? What kind of role does GIS play in supporting EPA in its mission?

A: At EPA we recently created a data analytics division, and hired a Chief Data Scientist. I now work for the Chief Data Scientist, Robin Thottungal, pursuing not only geospatial tech but also big data, machine learning, and other types of analytics. Currently I’m building cloud-based infrastructure to support distributed computing using Apache Spark and other technologies. We’re interested in offloading some of our geoprocessing and analysis to the cloud, along with better leveraging external data sources and emergent technologies for analysis. I’m also looking at how we can handle sensor data more robustly, and how to apply remote sensing for a variety of applications such as detection of Harmful Algal Blooms.

EPA’s mission is to protect human health and the environment. That covers broad territory, whether Emergency Support Function 10 and responding to oil or hazardous materials releases after a disaster, remediating a contaminated former industrial site, or assessing water quality. Environment is all about place, and so much of what we do has that spatial component. GIS is a core piece of support infrastructure at EPA, we have great GIS people across the agency. We’ve had a robust GIS workgroup for well over 20 years, and have had a Geospatial Information Officer for over 10 years. Our people are improving how we collect GIS data in the field, conducting advanced modeling and analysis, and expanding the use of mapping across the agency. We also train with the intent of democratizing technology across the agency, making it easier for non-technical users to map and visualize their data.

Q: What kind of technology do you use at work?

A: It’s quite a laundry list — for desktop mapping I’ve largely transitioned over to ArcGIS Pro, which is great if you already have nice clean data. I use SQL, R, Python, OGR/GDAL and others for data crunching and data prep tasks. A lot of our current infrastructure is Esri-based, with Oracle Spatial on the back end. However, I’ve found that database licensing constraints often lead to enterprise servers that are used for too many competing purposes, whether as a transactional system, data warehouse, or other functions stacked on top of each other. This means that it’s hard to optimize to do any of those jobs well, so I’ve been taking a step back, offloading, decoupling and leveraging more open source, like PostgreSQL and PostGIS, along with other open source technologies. I also do occasional lightweight work using Leaflet and various JavaScript frameworks. Recently we’ve added some point-and-click data viz tools like Qlik Sense for building dashboards, interactive charts, and graphs.

But we’re also looking at how to handle streaming data, big data, and distributed computing clusters — so I’ve started to experiment with an Apache Spark cluster on Mesos, along with Elasticsearch and other technologies that can bring us scale. As we look at deploying in the cloud, I’ve been delving into Docker as a means of containerizing, deploying, and managing our infrastructure in a replicable, maintainable, and cloud-agnostic way. We are working in a test environment in Amazon Web Services (AWS) with our eye on production, one of the big pieces being putting together the Authorization to Operate (ATO) documentation for the AWS environment. I also deployed JupyterHub in our test environment in AWS, which allows a user to create notebooks containing executable code (Python, R, Julia and others) along with annotation, embedded graphics, and other capabilities, with an eye toward supporting some of our scientific computing needs for more technical users in a self-service way. Esri recently rolled out their Python API that enables Jupyter-based approaches. Our little team is also digging into machine learning and analysis in the test Jupyter environment.

Q: Tell us about some of the cool projects you are working on.

A: Aside from building out some cool new infrastructure in the cloud, I get to tinker with a pretty wide variety of projects. For example, I recently built a tool to visualize streaming water sensor data, using Open Geospatial Consortium sensor standards. The tool allows users to slice and dice the data temporally; almost immediately we detected a recurrent anomaly in the data that the sensor operator hadn’t previously detected. Additionally, it provides dynamic, interactive ways to look at relationships between different sensor parameters, such as suspended solids, nitrates, and e. coli concentrations. I’d love to be able to set that up so that it can traverse upstream or downstream, pulling in other related sensor data from the stream network, since the devices are now all spatially indexed to the National Hydrology Dataset (NHD). I’ve also been building out tools that provide better insight on environmental impacts affecting tribes and American Indian country, using a combination of spatial queries and other approaches.

Q: You ride a bike and like craft brews — two mandatory geohipster attributes. Do you have any other?

A: For the male geohipsters, I possess an epic beard, however I’ll pass on the waxed handlebar mustache. And for the foodie geohipsters, I’ve brewed my own beers, I make things like pickled daikon, homemade mustard, gochujang chicken and Thai curry, and while I have been known to eat hipster foods like kale and quinoa, you won’t find me washing it down with a can of PBR. And I definitely have hipsterishly eclectic music tastes, ranging from funk to punk, blues to ska, a lot of artists not well known in the mainstream. I do actually own vinyl discs and a turntable, but I confess: most of what I listen to is digital.

But to get serious, I’ve noticed that the real geohipster attribute is to be innovators, makers, creators with broad interests and backgrounds. I came from a creative and resourceful “maker” family. When my parents settled in Pennsylvania, I was a nerdy city kid – born in Massachusetts, spent most of my childhood in Germany, then to El Paso, Texas. As I grew up, I became a country kid on a hundred-acre farm in the wooded Pocono mountains of Pennsylvania. There we raised goats, sheep, chickens, and other animals. We had a huge garden and did a lot of canning. We would hunt and fish, and were pretty self-sufficient. My mom and stepdad make a great team. She is a very talented sculptor and painter, and he is incredible at woodworking. She spins and weaves with their sheep’s wool, and he researches and rebuilds damaged antique spinning wheels using his lathe. My mom, with her undergrad in Chemistry and grad work in Germanic languages does things like reading Old Norse sagas in the original tongue to pick out tidbits on ancient Viking wool dyeing, spinning, and weaving.

So, I grew up in a very resourceful and creative “maker”-oriented environment: I did pen and ink drawing and sculpture; I learned to work on cars, solder electronics, and hang sheet rock; I learned how to build and make things. And that creativity and tenacity to figure out how to make things still influences how I approach many things, even if these days it involves a multidimensional dataset, or a homebrew sensor built with a Raspberry Pi.

Q: Do you consider yourself a geohipster? Why / why not?

A: We grizzled geohipster silverbacks might be tempted to say something hipsterish like “I was geo before geo went mainstream,” but one look at me and you’d probably think more geohippie than geohipster. I don’t possess any colorful skinny jeans (not that I’d fit into skinny jeans), I don’t wear Vans or ironic t-shirts under a blazer. My natural state is more likely to involve hiking boots and a tie-dye. But hipster jokes aside, it’s actually what’s on the inside that makes one a geohipster. It’s about out-of-the box thinking, being creative, passionate and innovative, and weaving together a lot of different knowledge and experience into your work.

Q: On closing, any words of wisdom for our global readership?

A: For one thing, remember that Venn diagram of things you enjoy / things you are good at / things you can get paid for. I’ve found that many of the most satisfied, creative and talented folks I’ve met in geo were multidisciplinarians. Some came into geo from another field, some were folks who started in geo but who then did a deep dive into another field. I also think that shows that we need to mix it up, keep thinking outside of the box and looking across the sciences.

Don’t get too hung up on specific tools and technologies or stay in your comfort zone. Instead, get comfortable being uncomfortable, get outside of your comfort zone, and stay curious. Keep learning. Focus on outcomes, keep adding new techniques and approaches to your toolbox, and apply your knowledge to a wider variety of problems.

Don’t be afraid to learn to code — it can make your life easier through automation, overcoming limitations of boxed software, or wrangling data. You don’t need to be an expert coder, often just a smattering of skills and googling code snippets will get you there. Though I’ve hacked around with over a dozen languages, these days I mostly use SQL, Python, JavaScript, R, and some shell scripting to get things done.

And, get involved in your local geo and tech community. Here in the nation’s capital we are particularly blessed to have a number of great geo and techie Meetup groups like Geo DC, always bringing new presentations and insights and great networking over beer – but even if you don’t have a strong local geo and tech community, there’s a strong and vibrant online geo community on twitter and social media.

Maps and Mappers of the 2017 GeoHipster Calendar – Michele Tobias

Michele Tobias, PhD – January

GIS Data Curator – Data Management Program – UC Davis Library

Tell us about yourself.

In January I started my current job as the GIS Data Curator for the UC Davis Library where I work on data projects related to the library’s areas of particular interest and help patrons with questions related to data acquisition, creation, documentation, preservation, and sharing. I have a PhD in geography, and I am especially interested in the biogeography of coastal plants. When I’m not working on map-related things, I’m either dancing or crafting.

Tell us the story behind your map (what inspired you to make it, what did you learn while making it, or any other aspects of the map or its creation you would like people to know).

OK, but it’s kind of a long story… I’ll try to keep it short. It started a few years back when I saw an episode of Huell Howser, a show produced by the Los Angeles PBS station, KCET. In this episode, Huell interviewed people involved in growing the seeds that went to the Moon on the Apollo 14 mission and visited several of the resulting “Moon Trees” growing in the state. Curious about where the rest of the trees are, I looked for more information online and found some lists and a few basic maps. Fast forward to the 2016 call for FOSS4G North America presentations… I submitted a talk on cartography with Inkscape. I needed an interesting dataset to work with in my examples, and remembered the Moon Trees. Tree locations are easy to understand for a broad audience, and the story is interesting. Plus, my talk was on May 4th… so something with space needed to happen. Sometimes it seems that everything just sort of falls into place. It just happened that the keynote speaker for the conference that year was Tamar Cohen from the NASA Ames Research Center. And as I was making the map for my presentation, my aunt told me that my grandfather was on the crew that tracked the Apollo 14 mission and retrieved it when it came back to Earth. He would have gotten a kick out of the map for sure.

Tell us about the tools, data, etc., you used to make the map.

One of the goals I had for this map was that I use only open source software to make it. I found a Google Map of Moon Tree locations made by a person affiliated with NASA, and asked her via Twitter for permission to use her data. I cleaned up the KML attributes in LibreOffice.  I had hoped to get tree icons from Phylopic, a site for silhouettes of life forms, but they didn’t have the species that I needed so I made my own and contributed them back to the project. The basic layout and data display was done in QGIS, but I made the icons and did all of the big cartography in Inkscape.

This map was perfect for demonstrating some of the things you can do in Inkscape that isn’t possible in QGIS (or any GIS for that matter). The map has 3 data frames. In QGIS, you can’t have a different projection for each of them right now, so I had to export the frames separately and reassemble them in Inkscape. Also, the moon image fill on the polygons was achieved through a clipping process in Inkscape. The tree icons and numbers needed a lot of moving by hand to separate them enough to distinguish. The coasts of the US have a lot of trees and when I started, they were all lumped together. Some of the trees have a very subtle glow behind them to help them stand out from the background. In a GIS, it’s just not that easy to make a subtle halo.

The whole process of creating the map is documented in my 2016 FOSS4G North America talk that’s on their YouTube channel. The pitch video for the talk composed of screen captures of the map as it came together is on my channel.

Maps and Mappers of the 2017 GeoHipster Calendar – Alison DeGraff Ollivierre

Alison DeGraff Ollivierre – September

Tell us about yourself.

I’m a cartographer who works full time at National Geographic Maps, part-time doing freelance cartography/GIS work as Tombolo Maps & Design, and part-time for the NGO BirdsCaribbean. I’m from Vermont, have been living in the Eastern Caribbean on and off for the past six years, and currently live in Colorado. I love making maps and living abroad, and my primary topic of research for the past seven years has been participatory mapping, with a focus on its use in Caribbean small island developing states, particularly in relation to climate change, for the past six years.

Tell us the story behind your map (what inspired you to make it, what did you learn while making it, or any other aspects of the map or its creation you would like people to know).

When I was going through a stint of less cartographically-exciting freelance work last year, I started doing a map-a-day (inspired by Stephen Smith’s tile-a-day project) where I made quick, fun, daily snapshot maps that explored less commonly used fonts, colors, and projections with whatever exciting data I could get my hands on. I found NOAA’s climatic data center to be a jackpot for interesting data, and decided to map hurricane tracks across the Atlantic. Since I grew up in Vermont, I had not experienced hurricanes before moving to the Eastern Caribbean. The first big storm that passed through after I moved to St. Vincent and the Grenadines in 2011 was Hurricane Irene, which passed north of our island (just dumping a bit more rain than usual) and then proceeded to swing all the way up the coast to pummel Vermont. Nothing like a little geographic irony to inspire a map!

Tell us about the tools, data, etc., you used to make the map.
This map was made with NOAA’s national weather data and Esri country boundaries in ArcGIS and Adobe Illustrator. I started by converting the KMLs into shapefiles and selecting out the years that corresponded for both the Atlantic and Pacific hurricane seasons (there was twice as much data for the Atlantic hurricane seasons), leaving me with the 1930s-1980s. I then completed the cartographic design work in AI, including the graphic effects on the continents and oceans, and the visualization of the hurricane tracks.

Kurt Menke: “The most gratifying aspect of teaching these workshops is seeing people shed their technological insecurities”

A former archaeologist, Kurt Menke (@geomenke) runs Bird’s Eye View GIS and is based out of Albuquerque, New Mexico. He works mainly in ecological conservation, public health, and education. He has been an avid open source GIS proponent ever since he made the switch from ArcIMS to MapServer back in 2002. He recently authored the 2nd edition of “Mastering QGIS” for Packt Publishing, and “Discover QGIS” for Locate Press. He is also an OSGeo Charter Member. In his spare time he enjoys big wild spaces, mountains, vinyl records, and good coffee.


Q: Kurt Menke, where are you located and what do you do?

A: I live in Albuquerque, New Mexico which, contrary to what you often hear reported, is actually located in the United States. I run my own consulting business, Bird’s Eye View, and have worked at home since 2008. I consider myself a GIS generalist. I have been doing GIS for almost 20 years so “what I do” has changed over several times. I’ve built desktop and web mapping applications, developed data, conducted spatial analyses, and created maps. My mission is to help solve the world’s mounting ecological and social problems using GIS technology. Basically I want to use this technology to make the world a better place. My bread and butter is spatial analysis and cartography. Some of my favorite work involves modeling wildlife habitat and wildlife corridors. Many of my clients are non-profit conservation organizations in the western US.

I also do some work related to public health, and I’ve been involved in education and training for a while too. I’m a big fan of open source software and in 2010 I developed a full semester course called “Introduction to Open Source GIS and Web Mapping”. I usually teach it in the summer at my local community college. It’s now a required course there. I also was one of the major contributors to the GeoAcademy curriculum. That effort lead to me being an author. In the last two years I’ve authored “Discover QGIS” and co-authored two editions of “Mastering QGIS”. I’d like to get more involved in showing organizations how to migrate to FOSS4G.

Q: On LinkedIn you’re listed as a former archaeologist. What brought you into that field? How did you make your way from that into GIS?

A: I grew up in the suburbs of DC and started out at the University of Maryland where I picked Anthropology as my major. I eventually transferred to the University of New Mexico, partly because it had a great Anthropology program, but mostly to get away from home and have an adventure. I’ve been here ever since. After graduating I started working as a contract archaeologist. I did that for 8 years. It was a fun way to spend my 20s, but it’s hard work, and you end up collecting a lot of unemployment between gigs. It got to the point where I was ready to get a ‘real job’ instead of being a shovel bum. Some kind of synergy happened. I had a boss who was into remote sensing, which I’d never heard of, but it sounded cool. I’d always loved maps. I had a huge collection of paper USGS topo quads. He convinced me to enroll in the Geography Master’s program at UNM.

At the time I was completely computer illiterate. It sounds strange now, but it was still pretty common in the mid 90s. I ended up getting a job at the Earth Data Analysis Center at UNM, which is a GIS/Remote Sensing business that runs out of the university. It was there that I really cut my teeth on GIS. The first computer I used was a UNIX workstation through a terminal. We ran Arc/Info 7 and I loved it. It was all command line and I got really good at it. I ended up working at EDAC for 10 years. It was also there that I was first exposed to open source GIS. I did a lot of work developing web applications with MapServer, GRASS and PostGIS. Now I call myself a reformed archaeologist.

Q: What is a wildlife corridor and how hard are they to model? What tools do you use to do that?

A: Those are big questions. I’ll try to summarize. Wildlife have a home range or an area where they operate on the landscape. They also need to migrate occasionally. This might happen to find new food sources, better breeding grounds, or might be part of seasonal movements. A wildlife corridor is a route an animal uses to get from A to B. They also get called linkages or connectivity areas.

I think the ‘why they need to be modeled’ is important here. Wildlife habitats are becoming increasingly fragmented by human development, and habitat patches are becoming smaller. This has likely caused wildlife-vehicle collisions to increase. If a corridor can be accurately identified, people can work with transportation departments to build overpasses or underpasses for wildlife. It’s a win-win because it makes the road safer for people and removes barriers for wildlife movement.

There is also scientific consensus that the long-term survival of many species is dependent on protecting wildlife corridors. This is especially true for big animals with big home ranges, like mountain lions, elk, wolves, pronghorn antelope, etc. There’s the theory of island biogeography, which essentially states that the smaller an island, the fewer species it can support and vice versa. This is a universal ecological pattern found in the world. Fragmented habitat is like a small island.

They are hard to model, and this is just because the world is complicated and our understanding of how critters operate is incomplete. Corridors look very different from species to species. For example, a desert tortoise is not going to move like an elk. From a data perspective, you have to know a lot about the species, and you have to be able to represent things that are important to the species in a GIS. The first step is identifying where the habitat is. This usually involves a raster analysis, unless someone has already produced a good model for your area, but that just never seems to be the case. Variables usually include elevation, vegetation, hydrology and human impacts.

The next step is developing a resistance raster that represents ease of movement across the landscape. You can simply work off the idea that it is easier for a critter to move through good habitat than bad. So resistance is the inverse of habitat. Sometimes though people will develop a custom resistance surface if they know a lot about the animal. It likely includes a lot of the same variables in the habitat model but weighted differently.

From there it’s common to use some sort of least cost path tools. However, least cost paths are only one pixel wide which probably doesn’t represent reality so well. There is a nice tool in ArcGIS named Corridor that sums the cost and allows you to extract a swath of pixels as the corridor. Corridor Designer is one of the first tools I used. It was/is an ArcGIS toolbox with a suite of tools for modeling corridors using this approach. It probably doesn’t run so well on new versions of ArcGIS, but it was really handy. The coolest new tool is the open source Circuitscape. You essentially provide the habitat polygons and a resistance surface, and it outputs a connectivity raster for the entire study area. Of course this can all be scripted as well. I know there’s a package for R called Grainscape I’d like to check out.

Climate change is disrupting some of these patterns which throws a wrench into the works. People are now working on potential range shift models. Where will lynx habitat be in 2100 and where will the corridors be?

Q: I’ve seen your blog postings on community Health Maps. How much “GIS” is in the health field? It appears you’re doing workshops for people who are on a very limited budget.

A: This is a project I’ve been working on for a while. Community Health maps is a project of the National Library of Medicine, an agency I’d never heard of until I got involved. The goal is to empower public health organizations, working with underserved and at risk populations, with mapping technology. So yeah, our target audience is not GIS professionals, but public health workers. For the most part they are not computer savvy, but really need some basic geospatial tech. I teach half-day workshops where they learn how to 1) use Fulcrum to map their communities with smartphones, 2) map that data with CARTO, and 3) go even further with QGIS. The most gratifying aspect of these workshops is seeing people shed their technological insecurities. It’s common for people to show up and admit they’re scared of the technology. To then see in a few short hours, they are getting it all to work, and actually getting excited about the possibilities, is a beautiful thing. I also moderate a blog and have produced some related lab exercises. Overall I don’t think the health field is benefitting from geospatial tech nearly as much as they could. There are big programs at agencies like the CDC, but that isn’t really helping the typical public health worker in their day-to-day work.

Q: I’ve interviewed a few authors — and you mentioned Discover QGIS and Mastering QGIS — how hard is it to keep books on QGIS up to date? The QGIS developers have a quick release schedule and I imagine it’s easy to get far behind.

A: It’s hard. First of all, if all goes as planned, it takes a good 6 months from the start of the publishing contract to the end of the editorial process. During that six months, QGIS will have undergone at least one version change and is halfway to the next. Once out, the book is ideally current with the latest LTR for a year. As an example, we planned on getting the second edition of “Mastering QGIS” out in March of 2016 to coincide with the release of QGIS LTR 2.14. All our copy was complete by then, but due to issues with the publisher it wasn’t published until September. In a normal cycle that’s halfway through the book’s relevancy. I’m now considering updating “Discover QGIS” for the release of QGIS v 3.0. That book has over 700 screenshots, most of which will need to be updated. Then there’s accounting for all the great new features. It’s a daunting prospect. I want it done, but don’t want to do it.

Q: For me work/life balance is hard. What do you do for fun? I’ve seen on a year-end blog post you lift weights? You hike?  

A: It is for me too, but it’s getting better. I really try to quit work at 5pm. Since I work at home, that routine is important to my overall sanity. As I was getting ready to leave the university and start my business, I spent a few years essentially working two jobs. It took a toll. The body really wasn’t meant to sit 50-60 hours a week. I started gaining weight and having problems with my elbows and wrists. Eventually I got an adjustable height desk which has helped.

I do lift weights. A few years ago my wife and I started really cleaning up our diet and working out with a trainer. He’s got his own little private gym. It’s just us and a few others. Now we lift weights 3 nights a week and do some sort of cardio on the weekend. It’s a blast, plus most of the aches and pains associated with being a desk jockey have gone. Workouts are also usually in the evenings so they get me to stop work on time. It’s my favorite part of the week. We’ve both gotten pretty fit. This winter I set two weightlifting PRs. I was most proud of back-squatting 315!

I also love hiking. I spend a lot of time up in the Sandia Wilderness outside of Albuquerque. One of my hobbies is climbing 14-ers (peaks over 14,000’). I’ve climbed 23 of the 54 in Colorado, and another 3 in California. I like backpacking too. A while back I hiked across Oregon on the Pacific Crest Trail. My buddy and I covered 500 miles in 40 days. It was an amazing experience. I can’t imagine being able to take that much time off now.

During the week, after work and working out, I can usually be found on the couch watching any one of the great TV shows out these days. I also love vintage film noir. The movies relax me. I listen to a ton of podcasts too. Lately I’m into S-Town, Criminal, Monday Morning Podcast (Bill Burr), Crime Writers On…, I Brew My Own Coffee, WTF with Marc Maron, and recently Hangouts with James Fee.

Q: How bad is the coffee addiction? It seems like it may be a problem.

A: Ha! It’s pretty bad, but what do they say? Admitting it is the first step. I’ve always loved coffee. A few years ago I started getting bummed that what I brewed at home wasn’t anywhere near as good as what the local coffee joints were serving. So I did some research and invested in a decent burr grinder, a scale, and a Chemex. Give Chemex a goog if you don’t know what one is. It was a game changer. I threw out my drip machine.

With the Community Health Maps project I’ve been travelling a lot. So I’ve started checking out the best coffee shops wherever I go to see what they have going on. That lead to getting into all the single origin coffees coming out. From there I started buying other brewers like an AeroPress, Kalita Wave, siphon, Moka pot, V60 etc. They’re all really affordable. Then I found a vintage Swiss espresso machine in my father in law’s garage. He didn’t want it, so I sent it out to be refurbished. That was expensive.

Anyway now I pretty much have a state of the art coffee shop in my kitchen. I’ve turned into a total coffee geek and I’m ok with it. I even bring an AeroPress and a portable hand grinder with me on trips to places without good local coffee. I can brew up great coffee in my hotel room.

Q: Almost 4 years ago we defined the geohipster to be a person who lives on the outskirts of mainstream GIS. So I’m reading back through this and we’ve got the makings of a geohipster. Do you feel like one?

A: What is it The Stranger says, “that’s a name no one would self-apply where I come from.” That’s where I am with it. I think in some respects I operate on the outskirts of mainstream GIS (ahem I meant the geospatial industry) and in others probably not. I’d love to be considered a geohipster, who wouldn’t, but I’ll leave that to others to decide.

Q: I leave the last question up to you: Anything you wish to tell the GeoHipster readers.

A: GIS and geo are simply ever-evolving tools for turning data into information. For me the application and the data are more important than the actual tools used. Mainly because every 5 or 10 years the tools completely change. Don’t get me wrong, that’s part of what keeps the job interesting day to day, learning new tools, but it’s the applications that can have a lasting impact.

Maps and Mappers of the 2017 GeoHipster Calendar – Damian Spangrud

Damian Spangrud – April


Tell us about yourself.
I’m a carto geek and have been making varying degrees of visual junk for almost 3 decades. I’m interested in showing data in a way that makes people curious to learn more. I’ve been at Esri for 23 years and I’m the Director of Solutions (which means 2 things: 1. my team builds industry specific maps and apps to make it easier to use and 2. problems tend to find me). Visualizing space and time in static printed maps has limited how we tell stories about data for hundreds of years, and the move to fluid digital data means some long-standing cartographic rules may need to be bent…

Tell us the story behind your map (what inspired you to make it, what did you learn while making it, or any other aspects of the map or its creation you would like people to know).

I grew up in the Midwest and tornadoes were a fact of life. But while I knew I lived in Tornado Alley, I never had a good sense of what was the extent of that alley. And the maps that tried to define it seemed based on ideas and thoughts and not data. So I used data aggregation along with 3D to visualize the historical frequency of where tornados occurred. The raw data is a spaghetti mess of lines, but when aggregated into hexagons it becomes clear there is no narrow ‘Alley’, rather a large neighborhood. Looking at the data more you could see a pattern on when and where tornadoes were more likely. And using interactive time sliders you can also explore the general direction of tornado travel (which varies widely by region).

Tell us about the tools, data, etc., you used to make the map.

I used the historical tornado data (1950-2015) from NOAA. I used ArcGIS to aggregate the data into hexagons and do the 2D and 3D visualizations. The aggregations were based on count of major tornadoes (above a F3 on the Fujita-Pearson scale) inside the hexagons. I used the same color scale in 2D and 3D to allow for easier comparisons.  But I felt both 2D and 3D added to the understanding of the pattern.

Darren Mottolini: “Not just creating pretty maps that still require interpretation”

Darren Mottolini is a Business Development and Research Manager -- WA (Western Australia) at CRCSI (Cooperative Research Council for Spatial Information)

Darren has worked in the spatial information sector for over 16 years – working within the private sector,  government, and now academia, identifying and enabling businesses to use data and information to meet specific needs, and consulting on the best use of spatial data and tools in the on-line service delivery space.

He comes recently from Western Australia’s Landgate (Land Agency) as the manager of the Shared Location Information Platform (SLIP) Program – the State's core infrastructure for location information. Within the spatial community, Darren has chaired committees for the Surveying and Spatial Sciences Institute and the Intergovernmental Committee for Surveying and Mapping. He has open data and start-up community experience, he is a past recipient of the of the Young Spatial Professional of the Year Award (WA), and currently heads up Research Management focussing on collaborative research opportunities.

Q: How did you end up in geospatial?

A: Quite by accident. I graduated in the IT systems field picking up programming and network design jobs. I took a job at a company called ER Mapper as one of their technical analyst, which was my first foray into geo. From there I quickly transferred from behind the computer to in front of it branching out into solutions design and picking up up my geo skills from workshops, single units and conferences. Haven’t looked back since.

Q: You are ‘Sir Darren of Rabble’ on Twitter, is there a story there?

A: No story really. In Australia under a certain Prime Minister, he re-introduced Dames and Knights, and so a bunch of us changed our handles to Sir and Dame so and so. Rabble comes from my involvement in Perth coordinating GeoRabble events. Since then the moniker has grown on me so it has stuck.

Q: How’s the GeoCommunity in Perth?

A: Perth is a strange place. One, we are very isolated, with the closest main city four hours’ flight away. Two, everyone knows everyone so getting together is easy and organising events (such as a Georabble) picks up on everyone’s network. WA/Perth is still quite mining-focused, yet if you look across the state there are significant challenges. Biodiversity in the State’s agriculture and mining areas poses challenges, not only to understand the ecosystems but also to manage it. Also, due to the vast size of WA (which is 33% of Australia equalling about 4x the size of Texas, or covering more area than Western Europe) mapping and adding knowledge is a continual challenge for a population which is roughly around 2.5 million statewide.

Q: You used to work in the Western Australian state government, what was the technology stack like there and were there benefits in being forced to rebuild twice?! (After Google end-of-lifed Google Earth Engine…)

A: What I learnt from working in government (8 years) is that the stigma of government workers is nowhere to be seen. There is so much that happens behind the scenes that the public at large and private sector simply don’t see. Most of the stigma is due to spending public funds and the accountability that has to go with it yet if you understand the system, you can make it work. Managing a technology stack for the state’s Shared Location Information Platform (SLIP — the State Spatial Data Infrastructure (SDI)) had its challenges, yet the reward of making a difference, from concept to execution, rather than simply selling software or consulting on short projects, is what really kept me in government. Depending on the government agency, there is a lot of legacy systems which are used to manage the fundamental data within the state. Due to this, simply pulling a new dataset together, its impact on live systems etc. requires testing and creative design in order to respond to the industry need. Yet, all in all, managing SLIP, rebuilding it under Google Maps Engine, the demise of GME proved tiring for me and lacked new learning hence why I jumped at the chance to join a user-focused research organisation which really aligns to my take of technology that the consumers and suppliers needs are first, the technology is second.

Q: You are currently working at CRCSI, can you explain what the CRCSI is and what you do there?

A: The CRC (Cooperative Research Centre) for Spatial Information is a collaborative research body delving into the challenges facing both Australia and New Zealand. The research that the CRCSI conducts is user-driven, that is, our partners lead and sponsor the projects and we coordinate the research for them. It was this fact that attracted me to the CRCSI, being that it is not research for the sake of research, that it had a need founded in our users that could not be solved through traditional and pre-existing means. My role is to coordinate and ensure that our partners benefit from the research (i.e., they can use it) as well as brokering new research projects.

Q: CRCSI’s government funding ends soon, how’s it looking for the future?

A: It is looking good. One of the strengths of the CRCSI is that our partners are engaged and that our research is delivering benefits. As our government (federal) funding only accounts for a portion of our operation budget, we have already generated new partnerships and projects that will ensure Australia and New Zealand have a peak Spatial Information research body that is also an advocate for increasing the wealth of the industry by exploring emerging sectors and their needs for spatial knowledge.

Q: What can you tell me about the 2026 Agenda project?

A: The 2026Agenda ( is a joint initiative between the CRCSI and the Spatial Industries Business Association (SIBA) to put in place measurable and accountable actions that will drive towards greater awareness of spatial methods, data, and tech with new and emerging industries. As an industry we always say that ~80% of all data is spatial, but what does this really mean? The roadmap being generated will seek to ensure that the spatial sector is recognised as a proactive underpinning element to the Australian digital economy.

Q: What about some of the other projects CRCSI is working on?

A: How long have you got? As I remain partner-focused, it allows me to delve into all the projects the CRCSI is working on. My background is in SDIs, so the research we are conducting here is to explore how spatial processes can be delivered through the semantic technology area (Web 3.0). By doing this, achieving true automation — that is easily repeatable, shareable workflows that are facilitated through machine to machine understanding — aims to generate new tech that recognises spatial as a commodity anyone can plug into. For me it means that is a real opportunity for spatial to play its role in leading analytics processes that derive knowledge to assist decision making — not just creating pretty maps that still require interpretation.

Another area that piques my interest is the adaptation of spatial in the health sector. Taking 3D stereophotogrammetry to mapping faces for example has the potential to assist practitioners in detecting facial anomalies which could be signs of genetic diseases. The same principles are being applied to burns management for the debriding process.

In the agriculture space, assisting land managers with spatial data and query tools that draw on a massive historical earth observation imagery archive means that for the first time people can manage change over time by understanding the impacts of change.

Finally, the positioning research: ubiquitous 2cm accuracy is near-real-time from multi GNSS — it sounds easy yet the maths behind this level of research and its potential benefits to all those who want high accuracy data that is placed in its correct location when overlapped has massive potential. We are starting to see the benefits of this positioning research with the move to GDA2020 (Australia’s new datum), real time precision agriculture through remote controlled farm tractors, and the move to dynamic datums in the future.

Q: On your LinkedIn profile you mention Edward de Bono. What’s he got to do with anything?!

A: HA! I’m a strategist, it’s what I enjoy. Facilitation, consultancy and strategy development requires a person to think in different mindsets and assist others to think differently so that you can develop a rounded strategy. Edward de Bono developed a suite of ‘thinking tools’ that are well utilised globally. The ‘six thinking hats’ are an example of one of this developed tools. (see: ). I use these constantly to help me engage, facilitate thought leadership sessions, and develop strategies that work to the needs of the target user groups. Would never leave home without them. 🙂

Q: I assume that means you like lateral thinking, do you have a favourite riddle or, failing that, favourite dad joke?

A: Ask my kids, I am not a joke teller, not even dad jokes. Riddle me this though, when you get asked a question, how best do you question the questioner back? If you ask any of my staff (when I had staff), I always get them to learn through seeing if they can answer their own question. It is a lateral thinking exercise that I feel builds the best staff, increases their confidence and success, means you work yourself out of a job.

Q: What do you do in your free time that is not geo-related?

A: Isn’t everything geo-related? Camping, cycling, running are my favourite things to do. Of course, I track my cycling and running tracks, look for camping spots, and everything you can do around them. Having a geo focus to these activities usually sees me always looking towards a map.

Q: And finally, what do you do in your free time that makes you a geohipster?

A: Coffee! Maybe it’s my Italian heritage, yet it is the first machine I turn on in the morning, it is how I generally conduct my meetings, it is what gets me through the day. That, and a desire to care for the environment, a love of local music, and generally the wearing of Chuck Taylor shoes with no care to how my hair looks. 🙂

Kristen Grady: “If you’re on the ground, look up, and if you’re in the sky, look down”

Kristen Grady
Kristen Grady
Kristen Grady is a GIS Specialist at NYC Emergency Management and has over ten years of experience working in GIS. Prior to working at NYCEM she spent about six years working in academia trying really hard - but eventually failing - to avoid working a 9-5 office job. (Although saving the city from the apocalypse turned out to be a pretty cool job, so it’s OK). She’s loved airplanes even longer than geography and hopes to combine her two passions into an actual paying job someday. But for now, she makes maps and writes python code by day and stares at her airplane emergency card collection by night, which currently stands at an impressive 139. (And yes, they all very clearly read “PLEASE DO NOT REMOVE FROM AIRCRAFT.” She says she’s sorry!) Find her on Twitter and LinkedIn.

Q: How did you get into GIS?

A: I think it happened about six or seven miles up, somewhere near where the troposphere meets the stratosphere. I was flying from New York to California in June 2006 — my first time flying jetBlue — and I had never seen a live flight-tracker map before. I was enthralled! It was a perfectly clear day all the way across the country, and my 8 megapixel camera was pointed out the window for the entire six-hour flight. I’d take a picture of something neat on the ground and then immediately snap a photo of the map. When I got back to New York a few days later I sat with these photos and Google Earth, which I had just downloaded for the very first time, and spent hours trying to figure out what was in my photos…

A few months later, my Weather and Climate instructor was giving a lecture on remote sensing. He was going through slides of satellite images and having us guess what they were of. I knew them all! At the time I was a philosophy major, but I immediately went and switched my major to geography. The next semester, while taking the required geo-technologies course for the geography major I finally got to play with desktop GIS software and made some (pretty terrible) maps. But I knew that this was what I wanted to do. Someone in the geography department back then had made a comment that geography was a perfect discipline for “someone with ADD” because the variety of projects and aspects of GIS that you could focus on were truly infinite. That sealed the deal for me.

Geography and mapmaking were always passions of mine. I had my face buried in atlases and had been making pretty intricate maps since I was a kid, like this one that I made at age eleven. But I took a *very* circuitous route through college, losing myself about a hundred times, before finally taking that life-changing jetBlue flight that reminded that, at my core, I was born to be a geographer. So after seven long years in undergrad, I finally got that geography degree, and found GIS, and I’m so glad I did!  

Q: You have a Master of Science degree in Geographic Information Science. What is the one most important (or most valuable) thing you got out of your course of study?

A: I graduated with a B.A. in 2008, probably the worst year in recent history to start looking for a “real” job. So I ended up mashing together some part-time GIS research jobs and continued taking graduate-level GIS and cartography courses for fun. This eventually led me into a PhD program, which I was in for two and a half years before deciding to call it quits with a Masters. (A story for another time!)

So unlike in an undergrad program, where you’re essentially just learning how to use tools (at least in my experience), in a graduate program you are also being taught how to think critically about those tools, as well as how to think critically about the disciplines of GIS and geography themselves. You have to think about the consequences of your analyses, the ethics of your maps, the ethics of your tools. You have to think about things like the effects of aggregation, the cultural implications of using a certain color on a map…

Then there’s learning about different geographic “paradigms” and critical geographies, such as feminist geography or Marxist geography…  I had no idea while I was in undergrad that there was such a rich philosophy of geography. I feel lucky to have been exposed to that. Having that experience at the graduate level has definitely made me a better, more critical map-maker.  

Q: You work for NYC Emergency Management. Is your job stressful? Last week Amazon S3 went down because of a typo. If *you* make a typo lives are at stake. Do you ever think about that? Does it stress you?

A: Oh totally. I put a lot of pressure on myself because I am a perfectionist. But the paradox of working in emergency management, where your maps and your data really ought to be showing the most correct information, is that when sh*t hits the fan, there is rarely any time to go over everything in painstaking detail. It is not my nature to work this way *at all* so it’s been an interesting challenge for me.

There is always a struggle between balancing the quality of your work and being efficient. This is why I try to automate things using Python and by using map templates that I created a while back. This way we can spend more time on making sure the map and data are accurate and less time on things like creating a layout from scratch, or worse, creating an Esri scale bar from scratch (it’s the worst!). I have actually written a Python script that automates that process for us. Hooray!

Q: I interned for Manhattan Borough President’s Office in 1992. We used MapInfo then. Have things changed in NYC? What technology do you use these days?

A: The GIS Division at NYCEM is definitely an Esri shop but lately we’ve started exploring some other geo-tech as well, like Carto, Fulcrum, and Tableau. Our app dev folks are currently transitioning from the now obsolete ArcGIS API for Silverlight to Esri’s Web AppBuilder. And one of them tells me that he has started using some open source JavaScript technologies like REACT and NODE to rebuild our ailing Data Catalog application, which was originally created in Microsoft Access and contains about a zillion VB scripts. We’re also slowly starting to explore ArcGIS Pro, which we think may hold some promise. Perhaps it will lead to fewer frustrations (and expletives) than our good friend ArcMap.

As for the rest of the city, I think it varies. My sense is that it is largely Esri-based. But I am familiar with a few agencies that are moving toward open source technologies, like DoITT, who I believe is using QGIS for their desktop mapping. A colleague of mine at DOHMH uses R, D3, Leaflet, and PostGIS for her mapping projects, and DCP’s new Capital Planning Division has just used all open source technology to create their Facilities Explorer, which I love and was just released to the public.

Q: Tell us about a cool project you work on right now.

A: As I’ve said, things happen really fast in emergency management. A typical work day for me is pretty calm and laid back… until of course, something happens. One of the big ideas last year in the Public Safety Data Development Center (the group I work in within NYCEM GIS) was to create a dataset that answers the question, “What is there?” Meaning, if there is a sudden event, such as a building collapse or an explosion, we immediately want to know all of the facilities that exist in the affected location. Is there a hospital there? A nursing home? A restaurant? A school? We used to do this by adding a bunch of datasets one by one — that we had to think of off the top of our head — to an ArcMap document. But that is both inefficient and prone to oversight (like forgetting a dataset, for example).

Answering this question sounds easy enough (“Why not just use Google?!”) but what is so challenging is bringing all of these disparate datasets, most from different sources and with very different schemas, together into one dataset. The City of New York cannot simply rely on Google’s databases alone for its spatial awareness. We cannot verify the accuracy of their data.

Many of us worked on this project, but my job was to write an ETL in Python that would extract as many datasets as we could (currently 23, but eventually 50 or more) from our database, transform them — perform selections, map the fields, etc. — and then load them into one singular dataset. We still have a long way to go, but at least now, we can pull in this one dataset, which we call “Facilities Master,” select all the points that fall inside a building or within a given radius, and know an awful lot about the facilities in an area, with just a few mouse clicks. And this way you don’t have to think too much, which is always my goal. Plan and prepare when times are calm (think!), and then respond quickly when things get hectic (do!).  

Q: You are a Pythonista. What advice will you give to someone who is just getting started with Python in GIS?

A: Wow. What a great word, Pythonista. Can I use that on my resume?!

Ed: Yes.

Learning to code can follow a totally different path for everyone and really depends on your learning style. Some people can start copy/pasting other people’s code right away and fairly quickly manage to build something new that actually works. This approach didn’t work for me. I wasn’t easily able to break through the wall that stood between me wanting to learn to code and unshackling code from abstraction, and so I was a little paralyzed at first. But now I know that in order to learn code, you have to just start writing it and stop pussyfooting. You have to have faith that all those neural connections that you’re creating in your brain will eventually result in some pretty spectacular “eureka!” moments.

As for the more practical aspect of learning to code, you need simply to start out by learning the basics (variables, lists, conditional statements, loops, etc.), and then start playing. If you aren’t able to take a class, there are a million online code-learning sites, most of which are free. Once you know some really basic stuff and have learned what a module is, play around with the Python turtle module, which was originally created to help kids learn to code. It’s a great way to make really cool things happen pretty quickly, and it’s included in the Python Standard Library.

If you want to write scripts and create tools for ArcGIS, you’ll need to learn ArcPy, the Python site package that lets you interact with ArcGIS. Esri has pretty good documentation on how to use arcpy, and GIS Stack Exchange is also a great arcpy resource.

Here are a few rules I think the budding Python coder should follow:

  1. Know that coding requires incredible self initiative and self learning. Learn how to ask the right questions and become a master Googler. GIS Stack Exchange is indispensable, but users and moderators will publicly shame you if you haven’t done your homework before posting a question. I love that.
  2. Errors are learning tools, you’ll never stop getting them, and they will only get more complicated over time. Accept them. When you’re comfortable, learn about debugging and error handling.
  3. Pleeeeease comment your code. You will forget what you have written if you haven’t looked at your script in two weeks. More importantly, if someone else has to read it, explanations in a human language are key. Don’t be lazy. Don’t write sloppy code. Include script headers.

Q: Enough about work. What do you do for fun? Being a Brooklynite, whatever it is surely must be hipster, no?

A: Brooklyn is a pretty special place to live. It is also very hipster. One of my favorite things to do, and fortunately for my budget and my liver I don’t do this too often, is try to find really good craft cocktails. There are some amazing ones to be found in this borough, but obviously also in Manhattan. I have not yet ventured to the other three boroughs in search of craft cocktails, but I should! One of my favs in Manhattan is Amor Y Amargo. They are the standard to which I hold all other craft cocktail bars. A place I love to go to in Brooklyn is Blueprint. They also have incredible bar snacks. Yum!  

When I’m not consuming spirits, I am doing much healthier things like snowboarding, taking pictures, hanging with any number of my enormously huge family, including my two little nephews whom I adore, seeking out some top-of-the-line self-serve froyo with my other half, or geeking out hard on airplanes…

Q: You also like airplanes. How did you develop that passion (for it is a passion, right)? Tell us more about it.

A: I could spend hours answering this question! There are so many amazing spatial things going on with airplanes. But to be honest with you, I’m not really sure why I became enamored with them as a kid. I’d give anything to go back to early 1991 and ask that 8-year old girl, who just found out that she was going to be flying Continental Airlines from Newark, New Jersey to Orlando, Florida, why she instantly became so obsessed with them (and with the airline itself).

I think there are a few things going on. For one, I just think the airplane is a beautiful machine. But it’s also a symbol of escape, adventure, and change, and I have always liked all of those things. Also, the airplane affords anyone lucky enough to sit in a window seat an incredible and rare view of the surface of the Earth, which is a pretty spectacular experience for anyone who loves geography, although I didn’t have that particular experience until I was a bit older. My initial obsession mainly involved planespotting, which is at its most basic simply identifying aircraft types and airline liveries.

As I’ve gotten older and as technology has allowed for easy access to all kinds of flight-related goodies, the passion has evolved into an actual hobby. An #avgeek session for me might include using multiple flight-tracking apps (Flightaware, PlaneFinder, Flightradar24) and live ATC feeds to track a single flight or multiple flights that satisfy certain criteria. Sometimes I like to freak people out by “planestalking” them. (I actually coined the term Planestalker in the Urban Dictionary, and as of the time of this writing, it has 4 likes! ha!) Recently, I was planestalking my cousin’s flight from EWR to DEN, and it made a go-around in DEN. They were only feet off the ground before they aborted their landing due to wind and flew around to land on another runway. Nowadays you can go to Flightaware and just download a KML file of your flight. I sent him a picture of his go-around, and he thought it was hysterical (but also pretty cool!).   

Some of my favorite airplane “games” or challenges are trying to catch and then follow my pilot talking to ATC from one feed to the next (e.g. from Ground to Tower or from Departure to ARTCC), or predicting where an airplane overhead is coming from or going to and which runway it either took off from or is about to land on (which I am a total expert at predicting, btw!). I had a lot of fun making an animated map of some “Flights over Queens!” a few years ago, but unfortunately it got a little (irreparably) messed up when Carto switched from Editor to Builder.

Even more recently, I’ve developed an affection for aviation-related maps, like VFR sectional charts, arrival and departure procedures, and IFR Enroute High Altitude charts. I mean, talk about not being able to make a mistake! And having to think critically about the implications of your cartographic choices! Who makes these wonderful maps?! I am convinced that they are made by sweet little garden gnomes, working tirelessly in the night, running their maps from tree to tree… There is just so much magic, and a bit of mystery, in flying… it’s fun to uncover it all.

Q: Do you consider yourself a geohipster? Why / why not?

A: You know, at first I didn’t think I was at all, but then I realized that maybe I was a little bit when I was completely unable to answer the first question in the interview — which is a pretty simple and straightforward question: “How did you get into GIS?” — without launching myself into a paralyzing debate on my feelings on the word “GIS.”  Did I want to be associated with such a contentious word, what seems now to be a target for people who don’t want to be boxed in and who instead feel that they are part of something bigger than GIS, something geospatial? Just the fact that I was freaking out about the connotation of a word, in a very academic way… that must be somewhat geohipster, no? (Fortunately for the geohipster readership, I decided to scrap the eight-page essay that accompanied that manic thought spiral and instead tell you all a nice little story about flying… hee)

Q: On closing, any words of wisdom for our global readership?

A: I wish I could take credit for this perfectly succinct and beautiful advice that I’m about to give, but I can’t, as it was offered as a suggestion to me by my partner when I read this question to him out loud…

“If you’re on the ground, look up, and if you’re in the sky, look down.”

It’s exactly what would have taken me multiple paragraphs to articulate, but he did it in just one sentence. He knows me so well. I think I’ll just leave it at that.

Jim Hughes: “Having the US federal government involved in FOSS4G is great!”

Jim Hughes
Jim Hughes
Jim Hughes is a mathematician at Commonwealth Computer Research, Inc. in Charlottesville, Virginia. He is a core committer for GeoMesa which leverages Accumulo and other distributed database systems to provide distributed computation and query engines. He is a LocationTech committer for GeoMesa, JTS, and SFCurve, and serves as a mentor for other LocationTech projects. He serves on the LocationTech Project Management Committee and Steering Committee. Through work with LocationTech and OSGeo projects like GeoTools and GeoServer, he works to build end-to-end solutions for big spatio-temporal problems. He holds a PhD in algebraic topology from the University of Virginia.

Q: Your background is that of a mathematician. How did you find geospatial, or did it find you?

A: Geospatial definitely found me! I started at CCRi in the summer of 2012. That fall, I was working on the code base that eventually became GeoMesa, our Hadoop-based open-source geospatial database. I liked the project enough that I requested to work on it more, and after a few other rotations, I made it back to the project and have been working on it ever since. During my time with GeoMesa, I’ve had a chance to participate in the OSGeo and LocationTech open source communities at code sprints, and also to attend conferences like FOSS4G NA. The conferences and code sprints have been a great way to learn the eco-system while meeting a bunch of great people!

Q: One of your projects is GeoMESA, one of geospatial’s first real applications to deal with Big Data. How did it evolve? Was it a grouping of client requests, or something created in house?

A: CCRi focuses on solving interesting data science and machine learning problems. A customer asked us to transition one of our spatio-temporal analytics from a single server infrastructure to the cloud. We had been using PostGIS for our geospatial data management and processing, and we asked if that (or an analogue) was available in the cloud. When the customer said that the only database was Accumulo, and that it didn’t do geospatial, we wrote the code to make it do just that. After a few months, we realized that this software was a compelling product on its own. From there, GeoMesa has evolved in response to direct use cases.

Q: Most of us in the geo community have ideas about what we want to bring to market. From your experience on GeoMESA, do you have any lessons learned or warnings for those of us who want to do this?

A: Have great documentation and demos! Standing up a distributed database is tough, and adding software to that can be challenging. We’ve used a simple ‘quickstart’ project to show how to use the GeoTools DataStore API to write and read with GeoMesa. The documentation also explains how to set up GeoServer. When sample code and docs aren’t enough, be ready to respond to questions from users. We field questions on mailing lists, Gitter, and Stack Overflow. From those questions, you can get a sense of what folks are using your product for. Recently, I had some great questions about one of GeoMesa’s less well-known features. Those questions can drive simplification of deployments and improvements to documentation. If users can see what they are getting, see it work for them, and get help along the way, they are going to be happy.

Q: Over the past few years there has been an increased presence of the federal government at FOSS4G. What is your take on the adoption of open source spatial technologies both widely across the federal government and with your clients?

A: Having the US federal government involved is great! At that level of government, they have ‘big data’ and a vision to fund and drive innovative work for storing and processing the data. NGA and other agencies are definitely ‘getting it’ by funding and fostering open source technologies. When our work can be shared publicly, many organizations benefit; everyone can get the same code up, running, and working together to achieve more than what we were able to previously.

Q: As you sit on the board of LocationTech, who recently announced LocationCon, is this the first move of LocationTech to finally leave the shadows and become a driving force in the FOSS4G community?

A: I’d say that LocationTech has been moving forward the geospatial software community for a few years now. Some of that has admittedly been ‘behind the scenes’…As the logistic organizer for FOSS4G NA 2015 and 2016, they increased inclusivity for women at the conferences through both a code of conduct and a scholarship program.

Also, behind the scenes, LocationTech reviews its projects’ dependencies. Through that process, LocationTech projects like uDig, GeoMesa, and GeoGig have had lots of GeoTools code reviewed and, in a number places, those project teams have worked with the GeoTools team to clarify licensing and clean up code.

In 2016 and 2017 GeoMesa, GeoTrellis, and GeoGig all completed incubation. These projects represent complex libraries and products which address several areas of innovation in geospatial software. On the basic library level, Spatial4J was the first project to incubate, and JTS is close to graduating. Those two projects are libraries that are widely used: Spatial4J came out of Lucene’s spatial indexing needs, and JTS has been foundational to a number of Java projects. LocationTech is home to basic libraries (like JTS, Spatial4J, and SFCurve) and complex products such as GeoMesa, GeoTrellis, and GeoGig.

Q: CCRi is known for their “Friday afternoon parking lot BBQ.” What is your favorite style of barbeque?  

A: Finally, an easy question! I am a big fan of pulled pork and pork ribs. For sauce, I favor spicy and sweet options over vinegar and mustard-based ones.

Q: How do you define a “geohipster” and do you consider yourself one?

A: I suppose a ‘geohipster’ is a geo-/gis- professional or enthusiast who is up on the new trendy, cool technologies (perhaps bearded and wearing plaid?) in the geo-domain. I’ve been working on big-geo and streaming geo data for the few years, so if that’s en vogue, then sure, I can be a ‘geohipster’. From my interest in many of the low-level libraries and the math/geometry behind the field, the moniker ‘geonerd’ might be better.

Randal Hale: “80% of hipsters have a spatial component”

Randal Hale
Randal Hale
Randal Hale runs North River Geographic Systems. He enjoys long walks on the beach, talking about your feelings, and spatial databases. You may find him at your local conference, possibly in a canoe, or on a bike -- but not all at once. 

Q: How and why did you get into GIS?

A: So way back in 1989 (it’s not that long ago, right?) young Randy started college. I ended up through some twists and turns as a Geology Major. About a year or so before graduation, it hit me that in order to use this degree for anything I was going to have to go to grad school and A) Work for an an oil company or B) Teach. Ugh.

My department received a phone call about that time from the Tennessee Valley Authority mapping department. Hence started my career in the Federal Gov’t — I went in and interviewed for the wrong job and was hired for a summer job that didn’t start until October. TVA has a long history in Mapping. They are probably the 2nd or 3rd oldest mapping organization in the nation. At the time they also had a store that sold aerial photography (9×9 prints) and topographic maps. The map folding and selling turned into a my first foray into GIS.

TVA had just started using this new software called ARC/INFO and they had a huge job that required a lot of digitizing of data from 7.5-minute quadrangle maps. So I would digitize streams and roads and then get the GIS IT guy to print out a map at a known scale. I would then take the map and measure all the roads and streams using a planimeter (that’s what they told me to do). One day the IT guy came back and asked what I was doing and when he finished yelling he sat down and taught me how to extract that information from the data I was producing. I received a day or so of instruction. He gave me a stack of manuals. I read those at lunch. I was hooked. That led to AML development, shell scripting, and the eventual loss of most of my hair (at least that’s what I blame it on). I was there for about 16 years and learned a lot on life, mapping work flows, and data standards.

Q: You have been running your own GIS consulting business for 10 years. If you could do it over again, would you take the same path? What would you do differently?

A: Oh — things I would have done differently. I think I might stay on the same path. With a few exceptions:

  • I would tell anyone that is starting a business — actually learn about running a business. I can do complicated things with maps — I didn’t understand taxes. If you assume my work week is 40 hours I’ll spend about 8 hours bookeeping, 8 hours advertising, and 40 hours working (that’s the joke). I still question if I’m “doing it right”. Friends would go “Oh running a business is easy”. HAH.
  • Say No to people. It took me forever to learn to tell clients no. It’s easy to lose money on a job. It’s really easy if you work for yourself. There were jobs I took on I should have walked away from — but it’s hard to say no. In 2016 I think I walked away from 3 jobs where I didn’t think I was the best fit. Best thing I’ve done.
  • Learn to take a break from work. I will sit and worry about business. I like worrying — I’m good at it. This year I actually learned to step away and find hobbies that don’t involve GIS.

Q: Tell us about some of the cool projects you are working on and the technology you use.

A: Cool Projects. Heh. I’m not sure how cool they are.

So my first project as a consultant was with a small forestry firm within driving distance of Chattanooga. It started out simple enough. Soon 4 shapefiles turned into 8. 8 turned into 100. It was painful. I couldn’t manage the data easily. We needed to upgrade to ArcEditor or ArcInfo. They couldn’t afford the price tag. So I migrated them to QGIS and PostGIS. We are running an enterprise database that churns out a lot of data on cheap computers. It’s not glorious or cool — but it’s functional and pain-free. I guess that makes it awesome. We’re on the verge of having a thing called a “web map”.

One job involves a water utility. I’m still working on that one. That project is migrating data out of an Esri file-based geodatabase into PostGIS. We are installing QGIS alongside ArcGIS. There’s a few things they need ArcGIS for — but all data maintenance will be QGIS/PostGIS. They also are using Fulcrum to help with data maintenance/collection. I actually had to open ArcGIS for this one and muck through domains and subtypes in the file-based geodatabase. Which really this is more about making the client comfortable with the transition. There’s no question on it working or not working — it’s all comfort level.

A volunteer job I’m working on — Caribbean SEA ( They are a 501(c)(3) that operates in Chattanooga. They work locally and in the Caribbean educating people on the benefits of clean water. So after helping do things like help run their website and make sure email works — we’re diving into GIS. They will have one of their projects in PostGIS/QGIS. They are also about to embark on a mobile app for people to report water quality problems. Every water quality report has a point. Every point goes on a map. It’s going to be a game changer for them and the people they help.  

Q: These days you are all about PostGIS and QGIS. How and why did you take that route? Do you use Esri software?

A: I think I’ve been an Esri software user for nearly 23 years. I started with ARC/INFO 6 and stayed current up until 10.2. One of my clients has 10.5 I think (we’ve not opened it so I’m not sure entirely). In 2009 I even went so far as to be an Esri Business Partner and Certified Trainer for a short span.

In early 2013 I worked on a job that took me to the Caribbean. I worked alongside AppGeo ( and Spatial Focus ( on assigning addresses in the US Virgin Islands. When you’re standing on St. Thomas you can’t say “Take me to 123 Main Street”. Addresses are by parcel number. Many streets weren’t named. Your address might be “Az42” and that’s it. It’s hard to order a pizza and almost impossible to get an ambulance to your location. Addressing is complicated. It’s also a bit fun to figure out. We built an address repository from scratch. The addressing repository was to reside in PostGIS.

I was incredibly worried because I knew nothing on PostGIS except it didn’t “work” with ArcGIS. I had QGIS installed (1.7.x) and started learning how it all functions together. QGIS and PostGIS are flexible enough to run on anything. I went and bought a cheap laptop for $350 (4GB of RAM and a 300GB hard drive). I loaded Linux on it. I loaded PostGIS, QGIS, and a few other pieces of software. I took a copy of the address repository and off we went.

Over the course of 4 months I learned a lot. I had one co-worker there who was great at improvising — Zac. We would hit a problem and he would sit down and write a solution. I had one co-worker Carol who was excellent at designing processes. So by the end of the project we had built a process that combined commercial and open source software to churn out address information from the MAR (master address repository) for the good people of the US Virgin Islands. Up until that one point I always assumed you couldn’t mix commercial and open source software. We had strung together Fulcrum, ArcGIS, Google Docs, QGIS, Python, and PostGIS into possibly not the most elegant solution — but it worked and it worked well.Total software purchase for the job was about $300 US. All on a $350 laptop. Run your current commercial software on a laptop with those specs.

When consulting you run into a lot of clients that go “Look — we don’t have any money — but we’ve budgeted $30,000 to buy software to run our GIS”. When I came back from the Caribbean I started asking “Why is software the centerpiece of your GIS and not your data?”. It completely changed the way I look at geo. With my toolset of QGIS and PostGIS (and Fulcrum) I can do about anything that needs done. GIS is fun again. I don’t spend 4 hours listing out software a client has to buy — I spend 4 hours discussing data and what problems they need solved.

Q: Do you miss ARC/INFO on Solaris? Do you miss coverages? (I do, for which I get ridiculed occasionally.) Why / why not?

A: I do miss it. I used to do a lot of remote sensing. All of our landcover went into coverages — I mean everything at the time went into coverages — roads, streams, landcover, etc. It had polygons. The polygons were also standalone arcs. You had labels — those were also the centroids for the Polygons. You could attribute nodes if I remember correctly. The move away from coverages was painful. I swore for a long time file-based geodatabases were just less functional coverages.

My first dive into GIS was on Solaris. I enjoy Unix. So these days thanks to the flexibility of the tools — Linux is my operating system of choice. I have one laptop that is running Windows 10 and one Virtual Machine running Windows 7. About once a month I stop and go “Oh god — why am I running Linux” and then I remember I haven’t rebooted my workstation in 3 weeks and haven’t bought virus software in 5 years.

The other thing I miss about ARC/INFO Workstation: You actually had to know what you were doing to use it. That sounds mean. It’s true though. ARC/INFO was a time investment. You had to know the commands. You had to know what happened when you used those commands. For a while I taught a model builder class I had written for ArcGIS. Most taking the class didn’t know model builder existed or what half the ArcToolbox tools did. I feel like now it’s just push buttons until you don’t get an error. Make PDFs. Woot. Sigh.

It’s hard to explain — coverages are ancient history. Sometimes you need to see where you came from to appreciate where you are.

Now that I re-read this — I’ll go back to yelling at clouds and tie an onion to my belt.

Q: How long did it take you to become comfortable with PostGIS? How long will it take for an old phart? (Asking for a friend.)

A: A year before it started to make sense. I’m not a database person — most desktop GIS people (there are a lot of them out there) never think in terms of databases. Spatial SQL didn’t make sense for a while. I was used to a desktop GIS way of thinking. If you wanted a buffer you had to create a file. If you wanted to do some analysis — there was a lot of pre-processing that you might have to do before hand. Most people look at a desktop GIS and go “shapefiles!”. I’ve run into QGIS users and ArcGIS users who produce shapefiles all day every day. When you’re able to comprehend that PostGIS/PostgreSQL and QGIS give you an enterprise-level database — for free — it will change your life.

Eh — about 5 years ago — maybe 6 I was at a conference. I was exploring Free and Open Source at that point. I had a salesman with a commercial company start a conversation over support. He argued — FOSS4G has no support. I argued back “well you’ve got the internet.” Actually — I was a bit wrong — you’ve got email lists, commercial firms, conferences (unofficial plug — FOSS4G in Boston for 2017), books, etc. So I leverage all of those. You’ve got so much support — it may not be typical as in you have a 1-800 number to scream at someone — but I’ve not been compelled to yell ever in the last 4 years at developers in the FOSS4G world.

The really awesome part — it makes GIS fun again.

So Join a listserve. Buy a book. Participate in the discussion. I’ve emailed developers with suggestions and in a few cases I’ve felt like I’ve affected the software. I like filing bug reports.

Q: I enjoy reading your blog. I learn from the technical articles, but I enjoy the personal pieces even more. I like your folksy storytelling style. Will we see more of this?

A: Everyone (including yourself upon occasion) has told me to write something and write more. Heh — I enjoy it. The work blog provides that outlet. So I use it to vent — I talk about technical and I talk about life.

I tend to get lost in work. Figuratively as I will sit here for hours wondering over some technical problem and literally I think at times I “lose me”. I will catch myself at times during the week going “Oh man I can’t go do that I need to work”. It’s hard to get up and walk off. Sometimes if I’m stuck I start typing. I’ll talk about finding a nifty tool in QGIS and Grass or accidentally eating squirrel. Writing helps me find my way out of work. It’s also a great mental health check. I’ve started a lot of blogs and halfway through I realize something was eating at me and I’ve vented enough to make it go away. Many of you are probably saying “Thank you” for me not finishing an article and hitting the trash button.

Not getting as lost has been easier as of late because I’ve taken a sabbatical from boards and other things. I’m going to do my best in 2017 to write 52 articles. I’m already a bit behind. Some may be “cheats” and just reposts of emails — BUT — 52 things. They will probably lean in to the technical but there will be more family and friends that get brought into the mix. I look around and my family has never been “this old” before. Aging parents, aging pets, and changing thoughts make for an interesting life.      

Q: You own a canoe and a bicycle. As far as I can tell, you spend more time in the canoe than on the bike. Why is that?

A: Well… Hah. Growing up my first taste of freedom was a bicycle. I would ride for a while after school. I would ride a bike to work. Bike riding has always been a thing I do — but the canoe…

So when I was around 14 or so my friend Danny called and said “Hey — I’ve saved up some cash and I’m gonna go buy a canoe”. We drove up to Ocoee TN and he bought a 17-foot Kennebec Old Town Canoe. We immediately drove to Parksville Lake and threw it in the water. 15 minutes later we had flipped it. I was hooked. We did a lot of trips to places I’d never have gotten to see had I not been in a canoe.

It’s relaxing. It’s fun. It’s a low maintenance hobby. I can throw my canoe in any body of water and just explore. No gasoline needed. No new tires required. Give me about 15 minutes and you’ll never know I was there. Being in a canoe opens up a whole new transportation network you never think about — lakes and streams and rivers. I have threatened to take up fishing again. My one problem with that — it adds a level of cursing back into my relaxing sport. It’s like ruining a perfectly good walk in a field with a golf club.

When I graduated college my gift to me was a canoe — a 15-foot, 8-inch Old Town Discovery. I’ve had it for 23 years now.

    This year I’ve got two plans:

  • Do an overnight trip because I haven’t done one of those in forever.
  • The second is to take my laptop and do something with QGIS while floating down a river.

Q: Not until I got involved with GeoHipster did I realize that in some parts of the US “hipster” is a dirty word. Is that the case in your home state of Tennessee? If yes, why do you think that is?

A: Nah — not a dirty word here. Of course it doesn’t stop me from poking at people and calling them hipsters and implying it’s bad.

Hipsters seem to push outside of the norm. Depending on what you are doing here in The South that can be a bonus or a detriment. I have one client that no doubt calls me a “hipster”. If I head down to the local organic market, I’m going “ugh hipsters”. Hipster might have an implication of being “not that useful” since you’re working outside the norm. So ultimately I don’t know why it’s bad — except people love giving labels to everyone. Plus people love getting offended over anything and everything.

Q: So, are you a geohipster?

A: Am I? I suppose in some circles yes and others no. Let’s figure it out. I don’t program in JavaScript (-1). I do sometimes touch GeoJSON (+1). I’ve never made a vector tile (-1). I hate GitHub 80% of the time (-1). I did build a Docker image the other day though (+1). I don’t run my website in GitHub (-1). I do have a cat — a lot of geohipsters have cats (+1). I didn’t renew my GISP so that should give me some street cred (+1). I own a business so that removes some street cred (-1). I don’t have skinny jeans (+2). I’m not a huge fan of coffee (-1). Wait – I HAVE A BEARD (+1) … but it’s not long or weird like some hipster beards (-1). Most bands I like everyone has heard of (-1). I like tacos (+11) which means nothing except I like tacos.

I’m going to go with probably. I may be 80% geohipster. That’s how the saying goes, right — 80% of hipsters have a spatial component?

Q: On closing, any words of wisdom for our global readership?

A: Words of Wisdom. I can finally read my manifesto to the world.

People of the world — turn off your snapbook, your facegram, your tweetchat, and go outside. Find your nearest neighbor. Talk to them. I enjoy social media — but we’re missing a lot by not talking to people. Find someone you wouldn’t normally talk to and engage them in conversation.

GIS people of the world — if you’ve only ever used one type of Geographic Information System — try a different one. You may be going “OK you want me to use QGIS!”. Try them all — gvSIG, OpenJUMP, ArcGIS, etc. Of course — if you’ve ever been worried about trying QGIS and other open source alternatives to you commercial software — give them a shot, it will change your life. QGIS is coming up on a major release soon — help them out. It’s a great community of people.

Finally — go find a cause and volunteer. Want to help animals? People? Take a few hours a week and make it happen. It doesn’t take much to make a difference.