Tag Archives: interview

Euan Cameron: “I don’t like labels, it is your actions that count”

Euan Cameron
Euan Cameron
Euan Cameron is responsible for Developer Technology at Esri and views a well-designed API as valuable as any work of art. Euan has worked in the geospatial software industry for over 30 years and continues have fun innovating with aps and technology. Euan and his wife Julie are outdoor enthusiasts and can often be found in the Sierra Nevada Mountains climbing, skiing, or hiking.

Euan was interviewed for GeoHipster by Mike Dolbow.

Q: You’ve had an interesting career and it seems like you’ve got a pretty sweet gig right now. Tell us how it all started.

A: I grew up in Perth, Scotland and from an early age I was always fascinated by maps; they are able to convey so much information in an amazingly efficient way. The Ordnance Survey 1:50,000 series were and still are beautiful, and I used to pore over these maps sheets for the highlands of Scotland imagining what it must be like to be in the middle of somewhere with no roads, no buildings, no people for miles around – a sea of contours. The love of maps and particularly the maps of the highlands of Scotland got me into hiking, skiing and then climbing.  My favorite subjects at school were geography and mathematics and along with the love of the outdoors land surveying was an obvious career choice. I studied Survey and Mapping Sciences in London. Things don’t always turn out the way you plan them, and as it turned out, I was more interested in rock climbing than surveying. After climbing around Europe for a while the realization that money was in fact required for many things meant something had to change, and I ended up taking a job as a land surveyor.

I don’t like inefficiency, so I taught myself programming and C++ so that I could automate all the tedious calculations that surveyors perform. I was soon working more as a developer than a surveyor which led me down a road to GIS software development which is the perfect combination of my childhood curiosity to understand the landscape around us with the need to do it efficiently.

After finishing a degree that combined GIS and software engineering I started work with Laser Scan in Cambridge England. There I worked with some great people as we built cutting edge object-oriented spatial database technology and the GIS applications that consumed it. We (my wife Julie and I) moved to the US to join Esri 20 years ago. I joined in the early days of ArcGIS (called ARC/INFO 8 back then) and have been working on the project ever since.

Q: Were you in your current role when the ArcGIS Server REST API was released? If so, I’d like to know more about how that came to be. Was it a conscious choice to create such a developer-focused product?

A: My role at Esri has always been working on the developer technology, initially this was with ArcObjects technology, but it has evolved into my current role. The story of how our ArcGIS Server REST API came to be isn’t that different from other great things in software. A couple of developers having an idea. There wasn’t a master plan, just some hardworking developers with a vision and who, like many in the industry, thought there must be something better than SOAP-based services. Not everyone thought it was a great idea at the time, but it didn’t take long before it was obvious that it was the future.

Q: Although it was a bit ugly, ArcIMS was successful and widely adopted. In contrast, the first framework out of ArcGIS Server, the Web ADF, was pretty crummy out of the gate (in my opinion). But the REST API is/was awesome, and allowed all kinds of integrations that weren’t possible before its release. Did you know that you had “a hit” on your hands?

A: As I said before it didn’t take long before everyone understood what this meant for how we built the ArcGIS system and in turn how our developer community would be able to build on top of it.

Q: What are your thoughts on the debate over the REST API as an OGC standard? Was it worth going through that wringer?

A: Getting standards through the process is always challenging, we felt it was a good idea to offer it up as a standard. Standards are needed as we build out systems of increasing complexity and interdependency, personally I think if the REST API was a standard it would have made for a better world. The recent work by the OGC on their community standards is a good compromise for this sort of thing. It allows for industry leaders to develop innovative technologies but still do it in an open way where others can benefit.

Q: Do you think the REST API will ever be more popular than the shapefile? Both are foundational to a lot of open data efforts such as OpenAddresses, but the latter has its own Twitter account.

A: There is only one way to find that out and that would be to interview the REST API, I’m sure there would be a few choice quotes, and after all it isn’t fair to give shapefile all the limelight.

Q: The https://developers.arcgis.com/ website lists 10 different APIs and SDKs. Sometimes I can’t remember if I’m talking about the REST API or the Javascript API. Is there any danger that you’ve got too many?

A: Wouldn’t life be much simpler if we only had to think about one technology! The truth is having all these APIs is a huge investment, but it is something our developers require as they build out their solutions. Developers get to choose the best technology for the problem they are solving knowing there is an API that they can use when they work with ArcGIS. As an example, take the ArcGIS Runtime technology for building native applications. We have 6 APIs, 3 of which support cross-platform development running on 6 platforms. The APIs are used to build apps ranging in use from mission-critical to consumer games. Developers choose technology sometimes because it is their preferred environment, sometimes because the system they are integrating with, and sometimes because it’s cool. At Esri we try not to pick favorites.

Q: What is the future of desktop GIS? Do you think ArcGIS Pro leverages APIs effectively?

A: I think it does. ArcMap as you know is built using the ArcObjects API. The story 20 years ago was a great one – you use the same APIs to build on top of ArcMap that we use to build it.   Very powerful, but unfortunately also very restrictive as we evolved the architecture. Nothing could be dropped in case developers were relying on it, so we kept adding which kept the power but added complexity. The ArcGIS Pro API is different. The API is specifically designed for customizers and extenders. The internals of ArcGIS Pro are based on a new services-based architecture that decouples the UX from the underlying data tier, allowing for a responsive UX and powerful data processing. Time will tell.

Q: Like many of our other interviewees, you’re an “outdoor type”. When you’re hiking or skiing, do you bring your geo tools – or your geo mindset – along for the ride? Or do you need to take a break from work when you’re in the great outdoors?

A: It is great to get away from it all and there is no better place than the Sierra Nevada Mountains. In the mountains I like to keep the geo tools simple and only take the basics: a map and compass. In Scotland there were many days spent enveloped in cloud and without basic navigation skills you could get into real trouble, so it’s something I learned how to use early on.   

Q: We’re not quite sure if you’d call yourself a geohipster. On the one hand, you work for Esri (points deducted). On the other, you’ve taught yourself to code merely to reduce inefficiency (points added). Knowing that we’re sending you a t-shirt or mug either way, want to give us a ruling?

A: Honestly, I don’t like labels, titles, etc. they only help give people preconceived notions of who you are and what to expect. Over the years it’s obvious to me that it is your actions that count, your readers can decide.  

Q: Any final words of wisdom for our readers?

A: Be true to yourself, work hard and make a difference, because the world needs people like you who understand how to make the world a better place.

Anna Riddell on monitoring relative sea level change, accounting for the wiggle of the centre of the Earth

Anna Riddell
Anna Riddell
Anna works for Geoscience Australia as a Geodesist, but is currently doing a PhD at the University of Tasmania. Her research is focused on using Global Positioning System (GPS) data from Australian sites to derive a spatially-comprehensive vertical velocity field for the continent.

Anna was interviewed for GeoHipster by Alex Leith.

Q: You’re a Geodesist-hipster, right? So what is hip in the world of geodesy currently?

A: Geodesist-hipster doesn’t roll off the tongue as nicely as Geo-hipster, but we’ll stick with it for now.

There are so many exciting projects and new things popping up in geodesy, so these are just a few of them that I am excited for.

In Australia, it is predicted that by 2020 there will be in excess of 30 GNSS satellites visible at any one time. With the regular launch of new satellites, the major GNSS constellations are soon to reach maturity, creating a whole new world of multi-frequency, multi-constellation applications.

Other Earth observation missions are also being launched in the near future, one of which is the GRACE follow-on, which will enable the monitoring of changes in ice sheets and glaciers, the amount of water in large lakes and rivers and changes in sea level by observing changes in gravity.

In the realm of relativistic geodesy, there is some excitement around using optical lattice clocks for measuring elevation changes as well as the possibility to use the new clocks to redefine the SI unit of time and frequency (the second), effectively re-defining time… A bit closer to home we have the National Positioning Infrastructure capability and the Satellite Based Augmentation System trial, which is testing next-generation SBAS, a world first, in Australia.

Q: Australia has a new datum (GDA2020) that has just been released, and one day it might be dynamic. Do you think we can actually have one, considering the software challenges?

A: ‘Dynamic datums’ sound scary, but aren’t as daunting as they sound. The International Terrestrial Reference Frame (ITRF) could be considered as a datum that is continuously updated, where a new frame is realised every 4 years or so as new data becomes available and realignment is required. The new time-dependent Australian Terrestrial Reference Frame (ATRF), to be implemented in 2020, will be similar with periodic updates and realignment with the global frame. I wouldn’t say that it will be a major challenge for software, as the tools and resources needed are available and will be updated with each release. Noting that GDA2020 (current release) will still be available for users who do not need a time-dependent reference frame.

Q: Precession or nutation: which is your favourite?

A: Nutation! It’s more of a short term wiggle of the Earth’s spin axis due to the effect of the moon’s orbit, and more interesting to look at over short time spans (months to years).

Q: You studied at the University of Tasmania (same as me!); who was your favourite lecturer?! (You don’t have to answer this…)

A: Picking favourites is always dangerous (considering that I work with some of my lecturers now).

Christopher Watson (while teaching us least squares via first principles), for his entertaining idiosyncrasy of starting nearly every written sentence (on the white board) with ‘So,…’. I think the maximum count during one lecture was ~35 ‘So,…’ sentences.

Volker Janssen gets an honourable mention for the infiltration of AC/DC flavoured questions in some of our assessments.

Q: And after graduation, you joined Geoscience Australia, the largest geo-organisation in Australia, as part of their grad program, how was it?

A: The graduate program was an exciting year allowing me to experience the diverse range of earth-science related research undertaken to provide advice to the Australian Government. It was a fast-track introduction to the whole agency where we were encouraged to ‘step outside our comfort zone’ and explore areas that were not within our speciality/focus of our uni degrees. My 3 projects during the 12-month grad program were focused on:

  • Assessing the vulnerability of buildings to earthquake damage in Papua New Guinea;
  • Understanding the operation of Geoscience Australia’s geodetic networks, including the construction and installation of CORS and conducting a levelling survey from the Majuro tide gauge to the GNSS site in the Marshall Islands;
  • Classifying islands in the south Pacific on their vulnerability to climate change, specifically for groundwater storage and availability.

Q: GA are sponsoring your PhD, what is your elevator pitch for your thesis?

A: My PhD research is focused on looking at the vertical motion of the Australian tectonic plate, using permanent GPS sites all over the continent to track surface deformation. Part of my research is looking at reducing the error sources in precise GPS analysis, such as accounting for the wiggle of the centre of the Earth which presents as noise in the reference frame (ITRF2014). Having more accurate and precise estimates of vertical land motion in Australia will also enable more reliable observations of sea level change at tide gauge sites around the Australian coastline. Observations of sea level from tide gauges are made relative to the land that the tide gauge is attached to. Without knowledge of the vertical motion of the land (most commonly from GPS), our observations of sea level change can be biased. Relative sea level measurements are important for understanding local effects such as flooding and inundation, but the combination of sea level estimates from satellite altimetry and tide gauges requires knowledge of vertical land motion.

Q: What’s a surprising fact about plate tectonics that we don’t know yet?

A: There are around twelve tectonic plates that make up the surface of the Earth, but one plate (the Pacific plate) accounts for about 90% of all earthquakes, aka the ring of fire! This video is a great visualisation of earthquakes over a 15 year period. Plate tectonics (from the Late Latin tectonicus, from the Greek: τεκτονικός “pertaining to building”) a.k.a Earth’s lego blocks?!

Q: You grew up in a small town, Wynyard, Tasmania, and then lived in our nation’s capital, Canberra. What’s different and what’s the same?

A: Although Canberra is our nation’s capital, it could still be considered as a rural city (not big and bustling like Sydney). My moving progression has been steady with a moderate change from rural Wynyard to Hobart and then a smaller change from Hobart to Canberra. I am not a big city person, so Canberra suits me well. It is hard to compare what it was like living in Wynyard to living in Canberra as they were such different stages of my life. When I was in Wynyard, I was living with my family and growing up (still doing that now too…). The move to, and then working in Canberra was the first step into the working world, and so the comparisons are hard to draw.

The biggest difference for me would be not being near the beach and seeing open water. Living on the NW coast of Tas meant that you were nearly always in sight of water (river, dam, ocean), or driving along the coast with the salty tang of the sea. In Canberra, Lake Burley Griffin doesn’t quite compare with its brown colouring and periodic blue-green algal blooms.

Canberra also has a much larger temperature differential than Wynyard with hot highs (> 35 degrees celcius) and freezing winter mornings (sub-zero). I do prefer the crisp, clear and sunny winter days of Canberra in comparison to the (mostly) dreary and grey Tassie winter!

Q: I found another interview with you that says you used to ride horses, do you still ride?

A: Moving to Hobart was the end of my competitive horse riding era, which mostly focused on Show Jumping and Eventing. During my undergrad I worked at a racing stable, which was a great way to keep riding and get my horsey fix without having a horse of my own. I still occasionally ride for pleasure, but no longer competitively. My horse, Flynn, is now retired and enjoying the good life in a paddock full of lush grass out the back of Sheffield.

Q: And what else do you do in your free time that isn’t GeoRelated?

A: I enjoy team sports, with football (soccer) taking up most of my Sundays during the season. We are just about to start our Summer Cup games as a pre-season warm-up before getting into the football season, running from March to September.

While in Tasmania I have a list of walks/experiences and adventures to undertake which I am slowly accomplishing on weekends that don’t involve football. (e.g. Tahune airwalk, Russell Falls, Cape Pillar, Cape Hauy, Maria Island, sampling all the wine and cheese…).

Tim Wallace to GeoHipster: “Try to get the whole picture before you criticize”

Tim Wallace
Tim Wallace
Tim Wallace is a Graphics Editor and geographer for The New York Times, where he makes visual stories with information gathered from from land, sky and space. He has a Ph.D. in Geography from the University of Wisconsin-Madison.

Q: How did you get into mapping?

A: I’ve always been into maps and geography. I grew up outside of Boston in a family that took one kind of vacation—road trips to go camping. We drove everywhere we could in the Northeast: Vermont, New Hampshire and Maine, of course, but also New Brunswick, Nova Scotia and even Newfoundland (my favorite). For me, as an elementary school kid and middle schooler, it was pretty spectacular seeing all those beautiful landscapes in person, as well as discovering how they all were connected thanks to the maps we collected along the way.

While my first job (at the age of 8) was in journalism (I was a paperboy for the Boston Globe, of course!), the realization that I could have a career in journalism came much later, after a few years as an aspiring maritime archaeologist. I’d gotten both my undergraduate and masters degrees in archaeology, but after realizing the thrill of diving on a wreck was an opportunity I’d only experience rarely, I found myself drawn to the kinds of storytelling and visual explanation that are crucial to the preservation of cultural heritage. I was already doing a lot of cartography as an archaeologist, but without a great deal of formal training, I felt like I was winging it more than I wanted to be. So I decided to go for a PhD in geography.

Q: The title of your thesis is “Cartographic Journalism: Situating Modern News Mapping in a History of Map-User Interaction”. It was published in 2016, but you’ve been at the New York Times since 2012… so you completed a PhD while working at the NYT? That sounds impossible – how did you manage to pull it off?

A: Oh, boy. Short answer: writing retreats and sticking to a strict schedule. Long answer: It wasn’t easy, and I didn’t do it alone. Once I’d started at The Times, many people asked me why I would bother finishing. And as time passed, doubt crept in that I was even capable of it. In fact, I don’t think I would have finished if I hadn’t had the support of my wife, Kelly, and family, who understood on a deeply personal level what finishing might mean to me. I don’t talk about it much (because really there’s no point), but I struggled with dyslexia and short term memory issues as a kid—so much that one teacher told my folks that I would never be able to go to college. So, if I’m being honest, a good percentage of my drive to finish was thanks to family support—and also the desire to stick it to those long-since-gone teachers and prove to myself that I’m every bit as capable as the next geographic nerdlinger. Take that, Mrs. Baldwin! Hahaaa!

Q: You started off as an intern for the New York Times, but now you work as a graphics editor. What’s that like? Can you walk us through a typical day?

A: One of the greatest things about my job is that when I wake up in the morning, I often have no clue what I’ll be working on that day. Breaking news, fresh assignments or successful pitches often turn any expectations of how a day (or even a week) might go, upside down. Having said that, there are a handful of things that I often do (even if I don’t know when I’ll be doing them). I make maps, solo or along with a handful of other geographers in the department, and those same geographers and I assist other colleagues with mapmaking. I work with satellite imagery quite a lot, and increasingly, various types of drone imagery. Sometimes that drone imagery comes from flights that I or my colleagues have piloted. Occasionally I find myself working alone, but our department, and the newsroom as a whole, is extremely collaborative. So it’s pretty rare that the work I do isn’t done in support of a team effort.

Q: You work with a wide range of data types, from satellite imagery to spatially referenced data, and not so spatially referenced data. Can you tell us about the tools that you use?

A: Our department has a handful of internally-built tools (some of which have been opened to the public, like ai2html!), but everyone works with their own little hodgepodge of tools that suit their pace and type of work. For short deadlines (sometimes only minutes), we keep it simple (often only using illustrator and/or photoshop); for enterprise stuff we often have time to get a little experimental and try new tools and techniques. Geospatial tools I use include GDAL (my bash profile is a mess with functions for common tasks, like cleaning up gross shapefiles or pansharpening Landsat imagery), Mapshaper (made by my colleague, Matthew Bloch!), Arc/Q GIS (am I allowed to list them interchangeably like that?), GeographicImager, MAPublisher—but I’ll dabble in ENVI or Pix4D if I have time! Because of our often-frantic work pace, our spatial database management is borderline atrocious though. So, please don’t ask me about that. 🙁

Q: How often do you get to experiment, try out a new tool or a different approach to a problem?

A: Every story is at least little different from any other, so some level of experimentation is a part of the job. Dedicated whacky experimentation time usually only happens when we know a story is coming that we want to cover very differently. But I work with a group of creative people who are always pushing to do better work with new and surprising techniques, so some days feel almost like I’m in a little R&D graphics lab.

Q: This past October, you worked on the New York Times’ story How California’s Most Destructive Wildfire Spread, Hour by Hour. For just two hundred words and one map, it communicates a wealth of information. How did you achieve the brief yet comprehensive final product?

A: The Tubbs fire was unique for several reasons, but chief among them was the unusual rate at which it moved down a hill and into a populated area. We felt pretty strongly that this needed to be explained visually to give our readers the best sense of what happened. Projects like this are big team efforts. Derek Watkins was reporting from California for the first part of the production of the graphic. Others of us back in New York were helping delineate the fire’s perimeter using the latest data from the state, images from the European Space Agency, Landsat and DigitalGlobe. We were also using the DigitalGlobe imagery to determine which buildings were destroyed. If we weren’t sure about a building and Derek had access, he would go take a look and we would update our map with what he found. The locations of deaths were mapped with old-fashioned reporting. The timeline was put together using VIIRS, MODIS and GOES-16 data and we tried our best not to imply any more precision than we had. You may notice the lines aren’t sharp, for example. Their gradient is meant to visually display the fuzziness of the precision of our timeline based on our amalgam of sources.

Q: Is it normal for news publications to employ top notch geographers, or is that something unique to the New York Times?

A: What it means to be a Geographer in a newsroom and what we do has changed over time, but we’ve always been around. Maps have appeared in newsprint for centuries and many reporters do geography all the time! The type of work we’re doing now though feels special, like we’ve hit an inflection point where institutions are leaning on Geographers not just for maps or square mile calculations, but also for their perspective on news events as they happen across cultures and landscapes.

Q: Many people I’ve talked to who make maps professionally often make maps in their spare time for fun. Do you have any fun mapping projects in the works?

A: I’ve made a habit of putting myself to sleep at night with satellite imagery instead of a long read. I sometimes tinker with ideas too, but I’ve found that it’s pretty important to step back a little from my work during certain hours so that I don’t burn out!  

Q: You also run a website called  Bostonography with Andy Woodruff. For those who might not know, what is Bostonography? How did it come about?

A: Andy approached me about it at NACIS in St. Petersburg in 2010. He’d just moved to Boston and I’d just left. So, with his fresh eyes and my perspective as a recent Bostonian, it made good sense to team up. And it has been a lot of fun pretending to be the modern day Kevin Lynches of Boston. I just wish we had more time for it!

Side note: Amy’s favorite on the site is Whoops: Dunkin’s are Closer, which is a correction of an earlier Bostonography map showing distances to the nearest Dunkin’ Donuts across Boston. The farthest place in Boston from a Dunkin’ Donuts appears to be a cemetery, which you point out is ironic, because there’s another great Bostography map showing distance to cemeteries.

Q: What do you do for fun? Any hobbies? Your website has a lovely photo of your writing coach, who looks like a lot of fun…

A: I really don’t think I could enjoy spending time with Kelly, my son and my dog, Lucy, any more than I do. We cherish the weekends when we can stretch out our walks in the park, build worlds out of train tracks, hit up the zoo or go for a swim. I love taking photos and experimenting with photography too. I bake and cook a lot. Oh, and I might make a map here or there for fun (like this housewarming gift for my parents).

Q: Are you a geohipster? Why or why not?

A: Why, sure! I’m a geographer living in Brooklyn, I make my own pickles and babka, and I collect old maps. I should at least be geohipster-adjacent with these qualifications, right?

Q: Any words of wisdom you’d like to leave with the geohipster community?

A: Be friendly, share your knowledge and try to get the whole picture before you criticize. We all work differently and have a lot to learn from one another.

Ian Dees to GeoHipster: “It’s important to produce something that affects others in a positive way.”

Ian Dees
Ian Dees
Ian Dees is making it easier for people to find and use all sorts of geodata. He is a member of the OpenStreetMap US board, founder of OpenAddresses and All The Places, and is always looking for new data to explore and share.

 

Ian was interviewed for GeoHipster by Mike Dolbow, about a month before the announcement that Mapzen is shutting down operations. We at GeoHipster wish everyone from the Mapzen team the best of luck in finding their next adventures. –Ed

Q: You’re part of a team at Mapzen. Tell us how you got started with them.

I joined Mapzen because I was excited to focus on maps and map data as part of my day job. I was also excited to work with the team at Mapzen, who have built some great services based on the data that I’ve enjoyed building for the last decade of my life. I ended up on the Tiles team working on the map data that makes up the Tilezen service but I also spent time working on other data systems like Terrain Tiles, All the Places, and OpenAddresses.

Q: What are some cool projects you’ve been working on lately?

I’ve been working with Seth Fitzsimmons on updating Mapzen’s Terrain Tiles dataset for the last few months and we finally got it out the door earlier this month. I enjoyed updating the Terrain Tiles using newer AWS products like Batch that allowed me to spin up tens of thousands of CPUs to regenerate every tile in the world using newer and higher resolution elevation data. It was quite a thrill playing around with that setup!

I’ve also been working on adding data to Mapzen Places through a web scraping project called All the Places. Mapzen Places is a dataset with hundreds of millions of “venues” or points of interest from around the world and a system to link them into a hierarchy of administrative boundaries. All the Places will scrape location data from websites and output GeoJSON that will then be matched with existing Mapzen Places entries to add details like phone number, opening hours, improved location, and more.

Q: You’re the founder of Open Addresses, correct? What’s the story behind how that effort began?

OpenAddresses began when I finished importing the buildings and addresses in Chicago. I was looking around for more data to import into OpenStreetMap while also dealing with the recently-formed Data Working Group’s import guidelines. I decided that taking the time to go through the import process for the hundreds of datasets I was finding wasn’t a good use of my time so I collected the sources into a spreadsheet so others could import them if they wanted.

At some point Nick Ingalls from Mapbox came along and helped me move this spreadsheet into GitHub along with a system to download and merge the data together. After lots of help by hundreds of contributors (like yourself – thanks!) we have over 500 million address points collected and the data is used by Mapzen and Mapbox’s geocoders to provide extremely accurate and up to date search results.

Q: I have to admit, Open Addresses is one of the Github repos I contribute the most to. I think of it kind of like a treasure hunt, finding county data sources for addresses, particularly in my home state. Did you ever think it would grow to over 100 contributors?

Absolutely not! It was a thrill to see the community grow so rapidly. I think the thing that really kicked it into gear was Mike Migurski’s addition of continuous integration builds that generated preview of changed sources in a pull request. It made it clear to the contributor what was getting added and what the data looked like. The instant gratification that those maps provided really made people excited to spend a bit more time looking for more data to add.

Q: I have to admit that is a really cool feature – almost like earning badges in an app or something. But also, I’ve done enough painstaking geocoding that if I’m helping someone, somewhere have an easier time at that, it seems a noble cause. Are there any other contributors expressing that kind of desire? Or, conversely, has there been any backlash from a source that didn’t know its data was being used?

I think there are two types of contributors: one like you who can see where this data ends up being used and is excited for where their contribution ends up downstream. The other is a “casual contributor” that somehow finds the repository and is able to quickly and easily add a data source. This doesn’t happen as much anymore because we cover so many places already, but they get quick confirmation that their contribution is helpful and we can more easily offer fixes if something is wrong.

We have received one or two requests to stop using a data source because we misinterpreted the licensing information, but the vast majority of requests we get are to point to a better source of data or to offer newer or more complete information directly to us. To help with both of these situations we’re working with Portland’s TriMet team to build a tool for data providers to submit data directly to us.

Q: You also were on the team behind CensusReporter. Census data – and interpreting it – has long been the bane of the digital geographer’s existence. I can’t believe it took the geo community that long to have something dedicated to making it easier to use. I refer people to the site all the time. What was the most challenging obstacle to overcome for that team?

It was a blast working with the small team of Ryan Pitts, Sara Schnadt, and Joe Germuska on Census Reporter. Joe had built similar systems before and wanted to make them better, so it was great to build on top of his vision and work with Sara and Ryan to build innovative interfaces on top of the data that I pulled together. The most challenging part of that project was building something that handled the depth of the data that Census Bureau provides while also making it approachable and searchable for reporters who didn’t have the time to completely understand how Census had organized the data. I think one of the most successful parts of Census Reporter is that it’s simple enough to use and update that it only takes a few hours every time Census releases new data twice a year to maintain. Otherwise it runs itself!

Q: You’re also on the Board for OpenStreetMap US. Other than, uh…spraying an occasional fire extinguisher on the mailing list, what are your duties there?

I’ve been the treasurer on the OpenStreetMap US board of directors for several years. That involves making sure bills get paid, taxes get filed, and coordinating sponsorships for State of the Map US. One of the trickiest parts of being active with OpenStreetMap US is figuring out how to spend our money in a responsible way that improves the community of mappers in the United States. We’re constantly looking for ways to do that and if anyone out there has suggestions, please let us know.

Q: Does any of this work compare to being on Obama Election 2012 campaign?

I built some of the strongest relationships I’ve ever had in the 8 months or so I was on the Obama 2012 campaign. Going through that experience made me re-organize my career priorities entirely: before 2012 I was concerned about how I would be able to move up the ladder into a challenging position while not transitioning into management. After 2012 I realized that an extremely important part of having a job is being emotionally happy and producing something that affected others in a positive way. Working with and learning from amazingly talented people also became very important to me, and I think both of these things had a huge effect on what I chose to do in my career afterwards.

Q: You recently moved back to Minnesota after several years away. What brought you back?

My wife and I grew up in the midwest, and went to college in the midwest, so when we spent 3 years in Virginia at her teaching job we felt out of our element. We definitely wanted to get back to the midwest as soon as possible and a job in Minneapolis opened up at the perfect time. She took it and we moved as soon as we could. It feels great to be back in our element now!

Q: You describe yourself as a “Map Nerd” on various social media outlets. Does that equate to being a geohipster?

When I think of a “nerd” I think of someone who enjoys obsessively figuring out a problem or topic. I call myself a map nerd because I enjoy all aspects of maps: everything from understanding where you are while wandering outside to finding the right command line incantation to reproject a shapefile. I’ve always spent way too much time on a computer and focusing on maps, map data, and the systems around it gives me somewhere to focus when I want to learn new things. I suppose focusing on these geo topics makes me a geohipster 🙂 .

 

Kumiko Yamazaki: “Do your part and keep the community going”

Kumiko Yamazaki
Kumiko Yamazaki
Kumiko Yamazaki* is a tech manager at MapQuest, Inc. in Denver, Colorado. She has spent her entire career in the geospatial industry as a cartographer, GIS analyst, and software engineer. You can follow her on Twitter at @kyamazaki.

Q: How did you get into GIS?

A: I was always into maps. When I was a kid, I could point out every state/province/prefecture in the U.S., Canada, and Japan, and name all its capitals. Then came naming every country and all of its capitals, major rivers, mountain ranges, and other geographical features. When I went to college, it just felt natural to take a few geography courses and these few courses ended up turning into an entire degree in the field. My cartography and GIS classes were my favorite and I was ready for a career in the mapping industry!

Q: You work for MapQuest (or is it “mapquest”?). Tell us what you do there.

A: I work on the MapQuest developer brand as a part of Verizon Location Services. I’m currently the tech manager for the Developer Services engineering team and we are primarily responsible for all of the API documentation, the provisioning and management of API keys, and our self-serve platform that allows customers to pay for additional usage of our services. All of this can be found at https://developer.mapquest.com.

In general, we’re a very fast-paced team and we jump from one project to another at incredible speed. Some days I feel we’re THE mapping team, but that could just be me forcing my way into tackling more map-related projects.

Prior to this role, however, I’ve also had several other positions at MapQuest which includes being a cartographer, technical writer, and software engineer. There are a few special individuals here who have helped me along the way and I owe everything to them… at least a few beers, anyway.

Q: Tell us about some of the technologies you use at work. Are they mostly open source, or mostly proprietary?

A: Lately I’ve been using QGIS on a daily basis to analyze TomTom and OSM data and I admit I’m a bit rusty with this. I understand GIS concepts and know what I want, but I simply can’t find the one icon out of the 50 million icons on multiple toolbars that are shown.

Aside from QGIS, most of what we do is programming so lots of JavaScript-ing and PostgreSQL/MySQL.

Q: You are from New Jersey (which is my adopted home state). Why is New Jersey the butt of so many jokes?

A: Well these days, you can probably blame Chris Christie! Also maybe spillover from Filthadelphia? I don’t know, I really love New Jersey (Exit 16E before anyone asks, “what exit??”). You grow up with a certain toughness living there, especially in the densely populated areas, that prepares you for the rest of your life.

Q: You now live in Colorado. What do you miss most about New Jersey?

A: The shore, the cultural diversity, and Bruce Springsteen. I love that NJ has an identity unlike, for example… Delaware! It never leaves you, it defines you, and you make sure everyone knows you are from Jersey.

Q: What do you like most about Colorado? How is the geo scene there? How about the geohipster scene?

A: That’s an easy one – hiking in the Rocky Mountains. The geo scene is quite good, although I haven’t been as good at attending many meetups here. It seems most major companies are opening offices in the Denver area so it’ll be interesting to see what mapping divisions and even potential startups will make it here.

Q: What do you do for fun?

A: It’s difficult to get away from coding and mapping even when I’m not “working” because this is what I enjoy doing. My next side project is to create some artwork using OSM data that I can put up on all my empty walls. No details yet as the idea is still forming in my head!

If I’m not at my computer though, I enjoy hiking, craft beer, oxford commas, and playing modern board games.

Q: Do you consider yourself a (geo)hipster? Why / why not?

A: I love maps and I ride bicycles. Does that qualify me as a geohipster?

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

A: Take care of each other. Be kind, be courteous, be professional. This was the first community I “joined” on Twitter, not fully understanding the purpose of Twitter or what I was supposed to be doing. But you know, you make some friends along the way, maybe even lifelong friends – all because you had a common interest in maps. So do your part and keep the community going, and someday, it may even lead to an interview with the GeoHipster team 🙂

*The above interview represents Kumiko’s views. Not those of MapQuest or Verizon.

 

Hanbyul Jo to GeoHipster: “Letters look like paintings when you don’t know the language”

Hanbyul Jo
Hanbyul Jo
Hanbyul Jo is a New York-based software engineer. She works at the open source mapping company Mapzen, where she develops tools to make web mapping more accessible.

Q: How did you get into mapping/GIS?

A: It was a lot of connecting dots. Mapzen, where I work currently, is where I got into mapping. Before working at Mapzen, I was at the intersection of visual arts and technology. I did some random things including installations and performance. I was not sure what I was doing at that time, so went to a 2 year master program covering technology and arts hoping to figure out what I can/want to do. (Now that I reflect, I was more lost in the program…it was fun wandering.) In the 2nd year of the program, I got into making physical objects in a parametric way with digital fabrication tools. For my thesis project, I wanted to fabricate the map of Brooklyn out of paper. The problem was that I did not have any clue about how to get the shape of Brooklyn at that time. Any concept of geo data at that time was foreign to me. Repeating some unfruitful tries, I started getting into this whole map thing. Looking back, my thesis project was a hot mess… However I didn’t fail! As I was leaving school, I had to start thinking about what the next step would be. As I narrowed down my interests, I thought that maps are a combination of many things I like, such as programming, cities, visuality, data. I looked up map companies that I could find in New York City, and here I am now.

Q:Tell us about your work with Mapzen. What’s your latest exciting project?

A: It is Mapzen.. we don’t put that much emphasis on zen 😉 (This was Hanbyul’s response to me originally capitalizing the “Z” –Ed.) I work as a front-end developer at Mapzen. It is my main job to develop tools that can make web mapping accessible for non-tech/geo-data savvy people. Since Mapzen is not a big company, I’m also responsible for some general front end work such helping other teams’ demos, UI work etc.

A new project that I am excited about is a tool for people to generate basemaps easily. Our cartography team is trying to offer basemaps in a modularized form so that they can be assembled as user needs, e.g.. making labels super dense with a yellow theme. This project just started and is still in a very early stage. If you are a cartographer in need of basemaps that are easily tweakable, we will reach out to you soon!

Q: Your Github account is pretty busy, and you have some cool maps hosted there, like this Seoul building explorer. Can you tell us more about this map and the inspiration behind it?

A: I sometimes think I would never have put anything on GitHub if it were not for my job. All the thoughts such as, ‘What if some people point out this is not the best practice? What if I am doing something totally ridiculous?’ really freaked me out at first. I anyway had to do it on daily basis because my current job requires as many things as possible to be open source, and then I finally got used to it.

Thanks for checking out Seoul Building Explorer. That was one of my full-stack projects that I got to every bit of what it takes to make a web map out of geospatial data. As a person who develops tools for cartographers, I often try to get my hands on the full workflow that cartographers should go through (from geospatial data to web map). When I was looking at how to deal with tiles, I noticed South Korea started making a lot of geospatial data open source. That was the basic foundation of Seoul Building Explorer. The map was iterated several times. The original data had a really wide range of building data such as materials, purposes of the buildings etc. It was so exciting that there is data openly available for me that I put all of them at once at first. Then I realized maps trying to tell everything often fail at telling anything. I started thinking about what I want to see in the map as a person who spent a lot of time in that city, and I also got some feedback from my coworkers with urban planning and design backgrounds. With some inspirations such as built:LA and the NYC PLUTO dataset map, Seoul Building Explorer got shaped as it is now.

Q: As far as I’m concerned, you delivered the coolest talk at JSGeo 2017 (among a pretty amazing slate of presenters), wowing the audience with pictures of 3D printed maps in materials like chocolate and ice! How on earth did you ever come up with that?

A: Did I? 😊

I am always jealous of people who grew up reading maps. Top down view maps were not part of my growing up. All buildings and landmarks were relatively positioned around me: the post office is next to the supermarket, my friend’s house is two units next to mine. Maybe this is because there was no street number system in Korea (where I grew up)? Even after mobile devices became prevalent, I didn’t often have to go somewhere that I was not familiar with, so didn’t really use maps that much.

After moving to NYC, maps became part of my life. I started looking at maps much more often than before as a newcomer of the city. While struggling to read the directions from it, my illiteracy of maps left me room to consider them as visual objects. Just like how letters look like paintings when you don’t know the language.

As I answered before, I first got interested in maps to fabricate with them. Working at Mapzen, I discovered many ways to convert/export maps into easily fabricatable forms (which was my js.geo talk topic. I gave a similar talk at NACIS 2017, you can check it out here). Also some of my great friends and classes at grad school taught me a great deal of craftsmanship and tips when dealing with real life materials. It really helped me to go through the whole fabrication process to know what to expect from real life materials.

Q: Geohipsters are often described as thinking outside the box, doing interesting things with maps, and contributing to open source projects. So, the evidence is stacking up: do you think you’re a geohipster?

A: I have really problem with labeling myself in my life. Hehe… but if I am a geohipster, why would I be in a geohipster box? 🙂

Q: When your chocolate maps become an international sensation, what words of wisdom will you deliver to your adoring fans?

A: Floss your teeth after eating chocolate.

Damian Spangrud to GeoHipster: “Reinvent with a purpose”

Damian Spangrud is a Geographer and Director of Solutions at Esri. Damian often speaks about the role of GIS, technology, and innovation trends. In his 25+ years in the geospatial industry Damian has enjoyed working across a wide range of topics and technology and tweets about all things spatial, weather, and various geeky topics @spangrud.

Q: How did you get into GIS?

A: I have always been interested in maps and technology (although separately). After becoming disillusioned with being a Biology major at the University of Colorado Boulder, I switched to Geography and took ‘Automated Cartography’ and was hooked. I didn’t know what GIS was until a year later and ended up with an internship at the City of Boulder, working in the Open Space department. We had PC ARC/INFO, AutoCAD, and ArcCAD (all on Windows 3.0/3.1). The GIS team worked in a small farmhouse and the GIS manager lived upstairs. That turned into a job and eventually led to working in a GIS research lab at Montana State University Bozeman (Sun SPARCstations and electrostatic plotters) and ultimately at Esri.

Q: How did you end up at Esri?

A: I was finishing my Master’s degree in Earth Science at Montana State University Bozeman. I had enough of academics and needed a job. And while Bozeman was beautiful, there were just not many jobs in the area. I had been using GIS and modeling tools as a fundamental part of my thesis, so I sent out a bunch of resumes related to my GIS work (ahh the days before online job searches). Esri and a couple environmental consulting companies contacted me and I was intrigued by the job at Esri as it allowed me to work with new technology. In the summer of 1994 I joined the ArcView 2.0 team at Esri, I was brought on as the Technical Product Manager for ArcView. I ended up writing a LOT of Avenue (that was the scripting language for ArcView), I even wrote the buffer wizard. Over time I became the Product Manager for ArcView, and eventually the Product Manager for all of ArcGIS. Then a few years ago Jack Dangermond (President of Esri) asked that I take on a new role as Director of Solutions to lead a team working on solutions across ArcGIS. In over 20 years at Esri, it is amazing to see the growth of maps into a core part of society/expectations, and especially knowing that GIS people have been behind the scenes making all of this spatial revolution happen.

Q: You are a Director at Esri. What does an Esri director do?

A: An Esri Director is like a Senior VP at most companies. At Esri that means we focus on listening to our users and supporting our teams and making sure we have a strategy, process, and the answers to the hard questions so the teams can focus on getting the work done.

Q: What do you do at work — overall, and in your day-to-day duties?

A: I wear a few hats at Esri so my day-to-day varies considerably. I work with a couple of great teams of people — the Solution team works closely with customers to build ready-to-use apps and maps that help people do more with GIS (http://solutions.arcgis.com/gallery) and the APL (Applications Prototype Lab) team who are always pushing the boundaries of how we use GIS (https://maps.esri.com/). So, I mainly just try to stay out of their way! But I also try to help by providing critical feedback to team planning and direction. In addition, I work across the various parts of Esri to help on our overall strategy, which sounds fun (and it is) but it mainly means lots of meetings and lots of information bits to synthesize. As part of my role I evangelize spatial thinking and GIS at various events around the world and I keep my hands in the technology and make time to focus on individual mapping / analysis projects (some of these are highlighted here).  

Q: A lot has been tweeted about GIS data formats, and about the shapefile in particular. Where do you stand on the pro/con-shapefile continuum?

A: I don’t understand the anti-shapefile feelings. Yes it is old, yes it is messy, yes it has its limitations… But don’t we all? You don’t have to love it, but why expend the energy hating it? Should we use the shapefile as THE primary format for the next 20 years, of course not. I don’t know anyone who thinks it should be. Given the rapid growth of data especially from new sensors and methods, I’m not sure we will ever see a single format as dominant as the shapefile was at its peak. I do love the geopackage, but its adoption is coming at a point where the community is so comfortable using so many formats and across so many platforms that it’s going to be hard for it to become dominant.

Q: You are a Mac person. As (presumably) a Mac fan, how do you reconcile the fact that desktop Esri products never really caught on on the Mac platform? ArcView 2 for Mac was in the works, but never made it to a full release. What happened?

A: Mac person? Seriously? I’m so inept on Macs that my kids know better than ever asking me for help (thank God for YouTube videos). But I digress; I have a copy of ArcView 2.1 for the Mac here at my desk (unopened 3.5 floppy disks!), and we made media and books but we never shipped it. The Mac at that time wasn’t very powerful and while ArcView worked on the Mac… it didn’t work well. ArcView 2x/3x was built on a cross platform technology so we could get it to run on various UNIX platforms (this was pre-linux) and PC. That extra layer of tech, while wonderful at allowing us to work across platforms, added another layer of technology and load on the system. And the Macs of the late 90s were very underpowered for graphics and CPU. We had hoped that the CPU would catch up to PC speeds by the time we released; they didn’t and we just didn’t see the Mac as viable in the late 90s. Macs have since become speed demons but in many local governments they are still a minority (and special and difficult to request), so for the desktop we still see PCs as the main platform, but lots of folks (IRL and at Esri) run ArcGIS on their Macs using Parallels (or similar).

Q: You fly kites, which is probably the most hipstery of all hobbies we have talked about on these pages. Tell us about your fascination with kites.

A: Flying kites is a wonderful interplay of wind, technology and people. It can be both solitary and social as well as calming and exciting, even terrifying on high wind days. As a kid we lived for a few years in Nebraska, where it was always windy. We’d buy those cheap Gayla kites for a couple bucks and have ‘kite wars’, fly them a few thousand feet up, and even tie them to the deck at night and they’d still be flying in the morning. While in Boulder for college I worked at Into The Wind, one of the best kite stores ever!  And I spent most of my paychecks getting more kites (as well as yo-yos). I have all sorts of kites, from tiny kites (postage stamp size with sticks made from ⅛ diameter toothpicks), to huge kites that I anchor to my car. Some are traditional / or “static” kites (you let out string and fly them), others are stunt kites that you control with multiple handles and make spin and swoop at over 90 mph. I don’t get out and fly as much as I used to (various life responsibilities and poor wind quality here in Redlands makes it difficult), but it helps keep me sane.

Q: According to your Twitter bio you are also into food. Anecdotal evidence shows that a higher-than-average proportion of geo people have a strong relationship with food. They know and appreciate good food, they like to cook. I know of some who left the industry to become chefs. What is your relationship with food, and do you think that there’s a correlation between geo and food that warrants further exploring?

A: I have a VERY active relationship with food! I’ve always cooked, and like reading cookbooks, but I’m never good about following directions exactly. I tend to improvise and blend flavors and techniques from other recipes (sort of like my GIS analysis). People have said I should start a restaurant, but I fear that being focused to do something I enjoy would make it less fun for me. I don’t think there is any special relationship between the geo community and food. I think the food community has taken off over the last few years so you just see more of them. (And to the younger generation: learn to cook the basics, it will go a LONG way later in life.)

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

A: In the traditional sense, I’m probably not a geohipster. I fit few of the geohipster stereotypes: I don’t have a man-bun, I don’t bike to work, I don’t write JS daily, I’m not a coffee or beer snob, and I like using applications with UIs. That being said, I love maps, mapping, geographic analysis, and geographic science. I feel that we should look at using geographic science in new and interesting ways, making it more approachable and integrated into all aspects of business and science. And I did get maps into two years of the GeoHipster calendar, so that counts for something. So, I’m probably the old odd guy on the edge of the circle, feeding strange ideas and sharing thoughts, hopefully fueling these crazy hipsters to do more (and reminding them to stay off my lawn!).

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

  • Don’t be afraid to learn.
  • Reuse tools, code, and apps. Just because it has been done doesn’t mean you can’t reuse those bits to do you own thing.
  • Don’t reinvent just because. Reinvent with a purpose that has real value.
  • Learn enough about projections to be dangerous
  • Fear the rainbow color ramp
  • Normalize your data
  • Always know the minimum mapping unit appropriate for your map and scale
  • Remember Large Scale is zoomed way in (1 : smaller number) and Small Scale is zoomed way out (1: bigger number), but you’ll probably get it wrong 50% of the time.
  • Every map is a lie, but you should make your lies with purpose!

 

Emily Garding to GeoHipster: “#gistribe is truly for the people, by the people”

Emily Garding is a cartographer and data-wrangler for Friends of the Verde River in northern Arizona. She has a background in using GIS as a tool for conservation and management of natural resources, particularly wildlife and their habitats. She is also the founder of #gistribe, a supportive global community of geogeeks and their minions, who meet regularly on Twitter to talk about all the latest developments in geotechnology, and how they can use them to take over the world.

Q: Tell us about yourself. How did you get into mapping and/or GIS?

A: Right after college I went to work on a field crew researching Grizzly Bears on the Kootenai National Forest in Montana. We had a big clunky GPS roughly the size of a small European car that we had to haul around the woods with us so that we could GPS a point at the sites we surveyed. I wasn’t really that excited about it at first. But once I started plotting those points on a map back in the office, the veil began to lift. I started to see the vaguest implications of how someone with the right skills could explore this kind of data. I realized that these dots on a map could tell us about individual bears: their movements, their home range size, their relationships with other, what habitats they were using and when. After that, I was hooked.

Q: What kind of interesting projects are you working on lately?

A: Lately I’ve been creating mobile data collection apps for field crews we have working in remote areas. The challenge I’ve had is to create an app that can be used offline that has all the data the crews need when they’re in the backcountry, that allows them to collect data super efficiently in all kinds of weather, and before the battery runs out. Of course I also want something that allows me to easily sync and manage copious amounts of data. My mantra is that technology should make our lives easier, so I try to figure out how to make things as easy as possible for everyone. So far I’ve been using Collector for ArcGIS to create custom apps and that seems to work pretty well. I think that Collector is more geared toward online data collection, but it does have offline capabilities. One of the challenges I’m always faced with is how to make GIS work in remote areas where you don’t have modern day amenities such as Wi-Fi or cell reception.

Q: Your Twitter handle is @wildlifegisgirl. How does wildlife intersect with your interests in mapping?

A: The intersection of wildlife and GIS came to life for me when I was leading a field crew researching mountain lions at Grand Canyon National Park, while at the same time taking classes in GIS online. I started applying my new skills in GIS on the job right away. A few years into the project, we started collaring mountain lions. I didn’t have any technical support to help with formatting and managing the thousands of GPS points that were rolling in from those collars, so I learned how to manage the data myself, making maps, and analyzing the data. That’s when I started to get really interested in the spatial ecology aspect of wildlife management. Since then I’ve worked on a number of projects modeling wildlife habitats and identifying important wildlife areas, such as corridors, for conservation planning projects across the western U.S.

Q: I’m pretty sure you invented the hashtag #gistribe. Now it’s a weekly hashtag hangout. (Is that what we call it?) What inspired you to come up with that concept? Are you glad that it’s taken on a life of it’s own?

A: It’s true, I started the weekly #gistribe chat on Twitter in 2014. At the time, I was working remotely from a little cabin in the woods, which was pretty awesome, but I didn’t have any GIS peeps to bounce ideas off of, or go to for ideas if I got stuck. I’d noticed that GIS people who were using Twitter were really responsive. From time to time I would throw a GIS question out into the Twitterverse, and people I didn’t even know would answer it for me, or point me to a great resource. I started to think, “Hey, how great would it be if some of us geogeeks on Twitter were to engage in conversations on a regular basis?” We could really learn a lot from each other and become that supportive network of people with varying degrees of geospatial knowledge and interests that I’d been craving, and maybe others had, too. So I hosted the first #gistribe chat on a Wednesday afternoon about 3 and a half years ago and it’s been going ever since.

I’m really glad that there are so many people engaged in #gistribe, and that it’s ‘taken a life of its own.’ Right from the start, people would approach me with ideas about things they thought I should do as the defacto leader of #gistribe, you know things like “We should have a map contest!,” “We should have a blog!”,  “We should host a google hangout!”, and more creative ideas about ways to bring the tribe together…and I would respond with, “Great idea! Would you want to take the lead on that?”

It has never been my intention to be ‘The Decider’ for #gistribe, I simply wanted to hold the space for it, to create the venue for people to connect, and I fully encourage them to take it wherever they want to from there. In the past year or so I’ve been pretty hands off. I still pop in on the chat from time to time, but I don’t plan the chats or shamelessly promote them the way I did initially. I like to think that my backing off has helped make #gistribe into more of a leaderless movement that is truly for the people, by the people.

Q: At a recent conference, I made the observation that people who are active on Twitter are good presenters. I noticed that you once lamented that two #gistribe members were presenting at the same time. Have you found the same thing?

A: Yes, I’ve found that people who are active in #gistribe are passionate about what they do, and that passion bleeds over into other areas of their lives — and into their presentations. In addition, #gistribe is a really supportive group. If you want to do something, and you mention it to #gistribe, they’ll support you in it however they can. They’ll review your portfolio, drink your koolaid, test your app, go to your talk, whatever they can do. So I was bummed that 2 #gistribe members were presenting at the same time at the same conference because it made it impossible for me to be there to support them both.

Q: I also noticed a lot of Minions in your Twitter feed. Any story there?

A: There is a definite Minion theme to #gistribe. I can’t take any credit for it. Brian Sullivan made a cute graphic with Minions trotting across the globe and called it “Mapions of #gistribe” (I’m pretty sure the ‘Mapion’ on the right is supposed to be Gretchen Peterson and the bad ass on the left is me, but that could just be wishful thinking).

Later when I was asked to give a lightning presentation about #gistribe to Maptime Boulder in 2015, I put Minions throughout the slides to add an air of playfulness and that may have helped cement the #gistribe-Minion link.  #gistribe is not about being serious. You can be serious at work, or in other areas of your life, if you have to. But #gistribe is about having fun, being creative, and doing things you love. I think the minion theme helps to project that vibe.

Q: Open source or proprietary – any preference?

A: You know, Esri is what I use most, though I’m always tinkering with other software, tools, and apps especially if they have some functionality that will help me get the job done more efficiently.

I think it’s unfortunate for our generation that we’re limited to the two-party system. Hopefully future generations will be able to create some kind of interspecies mashup miracle-app that will allow us to do our work as seamlessly as those high-tech data wizards you see on murder mystery dramas who use invisible touch screens in the air to link traffic surveillance tapes, cell-phone GPS locations, and mugshots to maps in real time in order to figure out where the bad guys are hiding. (Sources conflict on whether or not this is what Dale Lutz was doing in last week’s article. –Ed)

Q: Do shapefiles harm wildlife more than GeoJSON?

A:Hold on a sec, my phone is ringing….Okay I’m back. That was the 90s calling and they want their shapefiles back.

Seriously though, any data format can be used for good or otherwise, depending on the user’s intention. I don’t think it means that one format is inherently good, or inherently bad. Wildlife get hit by vehicles on roads every day, whether the planners initially mapped out those proposed alignments using shapefiles or GeoJSON. It is my hope that more and more people will use GIS to find solutions to problems, such as mapping out areas where we can build wildlife underpasses or overpasses, making roads safer for wild animals and drivers alike. I don’t have a preference regarding what data format they use to do that, I just want it to happen.

Q: What do you think, might you be a geohipster?

A: I do tend to gravitate toward counter-culture ideas, and admittedly I thoroughly enjoy both obscure music and cheap domestic beer, but for me, ‘geohipster’ isn’t necessarily a noun, it’s more of a state of mind. I just go with the flow.

Q: Any last words of wisdom for our readership?

A: I think your readership is pretty well-informed and clearly way too free-thinking to seek out wisdom from others, but my free and open source life hack is to follow your heart, your intuition, and your own guidance. And don’t forget to have fun.

Dale Lutz: “Imagine there’s no formats. It’s easy if you try.”

Dale Lutz (@daleatsafe) is the Co-CEO and Vice President of Development of Safe Software. Along with co-founder Don Murray, Dale created Safe Software’s core product, FME, a data integration platform which helps 20,000 organizations across the world get their data from where it is to where they need it to be. Don and Dale have driven the company’s success for over 20 years, leading FME development from vision to delivery, and pushing the edge of data technology. Dale is a big fan of hockey, Star Trek (a new series is coming -- yeah!), and geospatial data.

Q: Tell us about yourself, and what led you to found Safe Software

A: I’m a simple country farm boy from Alberta, Canada, who had an interest in computers before, well, you could even buy them. During my last year of comp sci at the University of Alberta, I took two masters level courses in Remote Sensing and Cartography. Got to write FORTRAN code to read LandSAT tapes! So I was always interested in the application of computing to mapping. After graduating, I got a job in Vancouver at MDA, and got to work with weather data and later a variety of custom-built in-house mapping systems. There I met my good friend and co-founder Don Murray, and when he left MDA and had time on his hands, he asked if I’d be game to join him and start a company to work on a data format called SAIF. I said YES! We really thought SAIF (Spatial Archive and Interchange Format) was going to change the world (but somewhat hedged our bets — we went for safe.com and Safe Software, thinking we were being clever). SAIF sputtered out, but the software we wrote that was capable of working with that do-all-things-for-everyone data format ended up being more than flexible enough to take on all comers. Yes, even XML.

Q: You registered safe.com in 1994 — what a catch! Your internet game was strong. What do you think the domain name is worth today?

A: Yes, we could have had anything back then. Cost us $50! Canadian! We get propositioned for it at least once a month. But remember, I’m a farm boy from Alberta. I’ve never forgiven Edmonton Oilers owner Peter Pocklington for selling Wayne Gretzky for $18 million back in 1988. Selling safe.com, for any amount of money, would make us no different than him. And that’s something I’m not willing to wear. So it doesn’t matter what it’s worth. It’s not for sale 🙂

Q: Safe Software is best known for data conversions, but FME does more than just convert data from one format to another. Tell us what else it does.

A: Yes, FME is so much more than a simple conversion tool. Called the ‘Swiss army knife’ of data, FME is a data integration platform that helps users move data exactly where, when, and how it’s needed. FME delivers all of the tools for seamless system integration in one package: data extraction, transformation, loading, validation, and automation. And its interface allows users to build graphical data workflows without coding. Over 350 different applications and data formats are supported in FME, including our spatial favourites like the almighty @Shapefile, MapInfo TAB, Esri Geodatabase, PostGIS, Oracle Spatial, GeoJSON, KML, and GML. And hey, we do BIM, raster, and point clouds for good measure too.

Q: To paraphrase Safe Software’s mission from your website, you are out to free the data. Where do you stand on open vs proprietary formats? Aren’t proprietary formats good for business?

A: We like open data formats, ideally ones where we can help fund an open source development by the OGR/GDAL folks so all can get at it (and help us support it) equally. The biggest seller formats for us include the host of XML variants (all of those are open) and the ever popular and even award winning Shapefile (also open). Proprietary formats can be good for business, provided we can broker an arrangement to get some API to read and write them (the days of reverse engineering binary are long over for us). But even with an API, proprietary formats end up being much more effort for us. Our differentiator is not so much the next format we can do, but what we can do with the data, how easily, and how fast, as it moves from source to destination. Therefore, we’d actually be happy if the world stopped making new formats of any kind. As the poet wrote: “Imagine there’s no formats. It’s easy if you try. Imagine all the people. Sharing all the data. You may say I’m a dreamer, but I’m not the only one…”

Q: Are simple data formats too simplistic? Are complex formats too complex? Is there a happy medium?

A: Yes and yes and yes.  Next question.

Seriously, there really is a happy medium. ArcInfo Generate — way too simple. Can’t do attributes. Can’t tell the difference between a line and a polygon. GML — very powerful and as a result can be made to be very difficult for software builders to cope with. But something like Geopackage aims to hit a sweet spot. Built on the easily-understood SQLite framework, but extends it with a powerful geometry model and even high performance raster support. As a result, it can both be used as an operational format (i.e. software can work on it directly) as well as an exchange format (the specifications and underlying technology are well documented and ubiquitous enough to remove hurdles for use). Our friend the Shapefile threads this needle surprisingly well too, for an old timer, and that is a key part of its success. I mean, when you look at it, it was built on the dBase framework!

Q: My first GIS experience was with PC ARC/INFO coverages in 1991. I see the format listed on your website as one of the 350+ FME supports. Do you still convert data out of PC ARC/INFO coverages in 2017?

A: I hadn’t tried out PC ARC/INFO reading on my mac EVER, so I just found an old (old) input file and give it a spin:

Works like it was 1991!

Doing a bit more digging, the team finds this trend underway for the PC ARC/INFO usage in FME:

In 2017, fewer than 1 in 50000 of the tracked translations involved PC ARC/INFO. So it’s still in use out there, but just barely. I suspect it is a bit jealous of @Shapefile’s trendline…

Q: It is cool to bash the shapefile, but it’s not going away, is it? Or is it?

A: Honestly, I really thought that with all the choices out there, the Shapefile’s share of the popular vote would be decreasing. Imagine my surprise when I saw the graph of the Shapefile’s share of writer usage in FME over the past 10 years:

If only my investment portfolio looked like that! Even in the face of stiff headwinds (i.e. more choice offered by new formats being continually invented), more Shapefile writers are being used in FME today than ever before. And our usage stats also show that the most popular FME translation goes from Shapefile to Shapefile.  

So how could this be, when there are so many more sophisticated and modern choices to be had? The number of consumers of spatial data has grown substantially over the years, and their ranks have swelled by the inclusion of large numbers of business and other non-GIS professionals, who are more than happy enough to get their maps in a simple format that is supported everywhere. I’d look for Shapefile’s popularity to tank around the same time as Americans start getting their weather forecasts in degrees Celsius instead of Fahrenheit.

Q: What is the tech scene in Vancouver like? How about the hipster scene?

A: Metro Vancouver has a very vibrant tech scene. Being a short flight from and in the same timezone as Seattle and San Francisco makes our city an attractive place for American satellite offices, which in turn fuel a burgeoning startup culture. We’re located in Surrey (just outside of the City of Vancouver), which is one of the fastest growing cities in Canada. Next summer we’ll be moving to ‘Innovation Boulevard,’ Surrey’s new tech hub. Our brand new building is under construction as we speak, and we’ll be taking over the top four floors (and rooftop terrace!). We’re very excited.

As for the hipster scene, Vancouver is pretty well-known for its craft breweries, vintage clothing shops, and farmers markets. Every 3 months our teams at Safe get to pick a team-building exercise, and a recent fan favourite has been local foodie tours. So yes, it’s pretty hipster-y here.

Q: Tell us about your personal hipstery traits

A: I’m a big believer of eating healthy and supporting local whenever I can. I like to start each day with a customized smoothie, using Canadian-grown hemp protein, cashew milk, and acai berries, topped off with some organic fruit I planted, watered, picked, and froze on my own.

I developed web pages before it was cool. Check out www.dalelutz.com for the retro proof. Last updated August 1996.

I’ve also been to Portland twice in the past year to line up for hours to get Voodoo donuts.

Q: Are you a geohipster? Why / why not?

A: If being a geohipster means being as comfortable with an E00 as with a Geopackage, stopping to take a picture when you cross the equator on a trip, wondering how you could get your latest spatial tech innovation out there faster than those cool Mapbox cats, and having tcsh-command-line scripts running in an amber-on-black terminal on a Mac named after an obscure HBO sci-fi series company at the ready to bulk rename Shapefiles, then yes, guilty as charged.

Q: I think the FME socks are the best marketing idea to come out of a geo company in a long time — awesome idea! Whose is it? Are there more FME-branded garments in the works?

A: We are very proud of our Safe Sockwear. I still remember the meeting long ago where Employee #3 of Safe (a developer) came up with the concept. We’ve had sports socks for years and years, but only this May did we introduce the new Argyle look as swag for our FME International User conference. And has it ever been popular. #FMESockFriday is now a thing.

There is talk of branded slippers, but we will always prefer to be remembered as the company that encouraged its customers to have Safe Socks.

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

A: Keep your fieldnames less than 10 characters long, keep your data formats open, keep your input going to your output, and most importantly, keep your stick on the ice — always be ready to take advantage of whatever opportunity gets thrown your way.

Eric Fischer: “There may yet be an objective measure of the goodness of places, but I haven’t found it yet“

Eric Fischer
Eric Fischer
Eric Fischer works on data visualization and analysis tools at Mapbox. He was previously an artist in residence at the Exploratorium and before that was on the Android team at Google. He is best known for "big data" projects using geotagged photos and tweets, but has also spent a lot of time in libraries over the years searching through old plans and reports trying to understand how the world got to be the way it is.

Q: You’re coming up on four years at Mapbox, is that right? What do you do there?

A: I still feel like I must be pretty new there, but it actually has been a long time, and the company has grown tremendously since I started. My most important work at Mapbox has been Tippecanoe, an open-source tool whose goal is to be able to ingest just about any kind of geographic data, from continents to parcels to individual GPS readings, numbering into the hundreds of millions of features, and to create appropriate vector tiles from them for visualization and analysis at any scale. (The name is a joke on “Tippecanoe and Tyler Too,” the 1840 US Presidential campaign song, because it makes tiles, so it’s a Tyler.)

Q: I read that you’re working on improving the accuracy of the OpenStreetMap base map. Can you describe that process? I’m guessing one would need to figure out how accurate it is in the first place?

A: I should probably update my bio, because that was originally a reference to a project from long ago: to figure out whether it would be possible to automatically apply all the changes that the US Census had made to their TIGER/Line base map of the United States since it was imported into OpenStreetMap in 2006, without overriding or creating conflicts with any of the millions of edits that had already been made directly to OpenStreetMap. Automated updates proved to be too ambitious, and the project was scaled back to identifying areas where TIGER and OpenStreetMap differed substantially so they could be reconciled manually.

But the work continues. These days, TIGER is valuable to OpenStreetMap mostly as a source of street names and political boundaries, while missing and misaligned streets are now identified mostly through anonymized GPS data. Tile-count is an open source tool that I wrote a few months ago for accumulating, normalizing, and visualizing the density of these GPS tracks so they can be used to find streets and trails that are missing from OpenStreetMap.

Q: In the professional mapping world, I’ve noticed there’s a nervousness around datasets that aren’t time-tested, clearly documented, and from an authoritative source such as the US Census. These official datasets are great resources of course, but there’s a growing amount of data at our fingertips that’s not always so clean or complete. You’ve been successful at getting others to see that there’s a lot to learn about cities and people with dynamic (and sometimes messy) data that comes from many different sources. Do you have any advice on warming people up to thinking creatively and constructively with unconventional datasets?

A: I think the key thing to be aware of is that all data has errors, just varying in type and degree. I don’t think you can spend very much time working with Census data from before 2010 without discovering that a lot of features on the TIGER base map were missing or don’t really exist or are tagged with the wrong name or mapped at the wrong location. TIGER is much better now, but a lot of cases still stand out where Census counts are assigned to the wrong block, either by mistake or for privacy reasons. The big difference isn’t that the Census is necessarily correct, but that it tries to be comprehensive and systematic. With other data sets whose compilers don’t or can’t make that effort, the accuracy might be better or it might be worse, but you have to figure out for yourself where the gaps and biases are and how much noise there is mixed in with the signal. If you learn something interesting from it, it’s worth putting in that extra effort.

Q: Speaking of unconventional data: you maintain a GitHub repository with traffic count data scraped from old planning documents. For those who may not be familiar, traffic counts are usually collected for specific studies or benchmarks, put into a model or summarized in a report… and then rarely revisited. But you’ve brought them back from the grave for many cities and put them in handy easy-to-use-and-access formats, such as these ones from San Francisco. Are you using them for a particular project? How do you anticipate/hope that others will use them?

A: The traffic count repository began as a way of working through my own anxieties about what unconventional datasets really represent. I could refer to clusters of geotagged photos as “interesting” and clusters of geotagged tweets as “popular” without being challenged, but the lack of rigor made it hard to draw any solid conclusions about these places.

And I wanted solid conclusions because I wasn’t making these maps in a vacuum for their own sake. I wanted to know what places were interesting and popular so that I could ask the follow-up questions: What do these places have in common? What are the necessary and sufficient characteristics of their surroundings? What existing regulations prevent, and what different regulations would encourage, making more places like them? What else would be sacrificed if we made these changes? Or is the concentration of all sparks of life into a handful of neighborhoods in a handful of metro areas the inevitable consequence of a 150-year-long cycle of adoption of transportation technology?

So it was a relief to discover Toronto’s traffic count data and that the tweet counts near intersections correlated reasonably well with the pedestrian counts. Instead of handwaving about “popularity” I could relate the tweet counts to a directly observable phenomenon.

And in fact the pedestrian counts seemed to be closer than tweet counts to what I was really looking for in the first place: an indicator of where people prefer to spend time and where they prefer to avoid. Tweets are reflective of this, but also capture lots of places where people are enduring long waits (airport terminals being the most blatant case) rather than choosing to be present. Not every pedestrian street crossing is by choice either, but even when people don’t control the origin and destination of their trips, they do generally have flexibility to choose the most pleasant route in between.

That was enough to get me fixated on the idea that high pedestrian volume was the key to everything and that I should find as many public sources of pedestrian counts as possible so I could understand what the numbers look like and where they come from. Ironically, a lot of these reports that I downloaded were collecting pedestrian counts so they could calculate Pedestrian Level of Service, which assumes that high crossing volumes are bad, because if volumes are very high, people are crowded. But the numbers are still valid even if the conclusions being drawn from them are the opposite.

What I got out of it was, first of all, basic numeracy about the typical magnitudes of pedestrian volumes in different contexts and over the course of each day. Second, I was able to make a model to predict pedestrian volumes from surrounding residential and employment density, convincing myself that proximity to retail and restaurants is almost solely responsible for the number, and that streetscape design and traffic engineering are secondary concerns. Third, I disproved my original premise, because the data showed me that there are places with very similar pedestrian volumes that I feel very differently about.

If “revealed preference” measured by people crossing the street doesn’t actually reveal my own preferences, what does? The ratio of pedestrians to vehicles is still a kind of revealed preference, of mode choice, but the best fit between that and my “stated preference” opinions, while better than pedestrian volume alone, requires an exponent of 1.5 on the vehicle count, which puts it back into the realm of modeling, not measuring. There may yet be an objective measure of the goodness of places, but I haven’t found it yet.

Why did I put the data on GitHub? Because of a general hope that if data is useful to me, it might also be useful to someone else. The National Bicycle and Pedestrian Documentation Project is supposedly collecting this same sort of data for general benefit, but as far as I can tell has not made any of it available. Portland State University has another pedestrian data collection project with no public data. Someday someone may come up with the perfect data portal and maybe even release some data into it, but in the meantime, pushing out CSVs gets the data that actually exists but has previously been scattered across hundreds of unrelated reports into a form that is accessible and usable.

Q: What tools do you use the most these days to work with spatial data (including any tools you’ve created — by the way, thanks for sharing your geotools on Github)?

A: My current processes are usually very Mapbox-centric: Turf.js or ad hoc scripts for data analysis, Tippecanoe for simplification and tiling, MBView for previewing, and Mapbox Studio for styling. Sometimes I still generate PostScript files instead of web maps. The tool from outside the Mapbox world that I use most frequently is ogr2ogr for reprojection and file format conversion. It is still a constant struggle to try to make myself use GeoJSON for everything instead of inventing new file formats all the time, and to use Node and standard packages instead of writing one-of-a-kind tools in Perl or C++.

Q: You’re prolific on Twitter. What do you like about it, and what do you wish was better?

A: I was an early enough adopter of Twitter to get a three-letter username, but it wasn’t until the start of 2011 that I started really using it. Now it is my main source of news and conversation about maps, data, housing policy, transportation planning, history, and the latest catastrophes of national politics, and a place to share discoveries and things to read. I’ve also used long reply-to-myself Twitter threads as a way of taking notes in public as I’ve read through the scientific literature on colorblindness and then a century of San Francisco Chronicle articles revealing the shifting power structures of city planning.

That said, the Twitter timeline interface has become increasingly unusable as they have pulled tweets out of sequence into “in case you missed it” sections and polluted the remainder of the feed with a barrage of tweets that other people marked as favorites. I recently gave up entirely on the timeline and started reading Twitter only through a list, the interface for which still keeps the old promise that it will show you exactly what you subscribed to, in order.

Q: If you could go back in time, what data would you collect, from when, and where?

A: I would love to have pedestrian (and animal) intersection crossing volume data from the days before cars took over. Was the median pedestrian trip length substantially longer then, or can the changes in pedestrian volumes since motorization all be attributed to changes in population and employment density?

Speaking of which, I wish comprehensive block-level or even tract-level population and employment data went back more than a few decades, and had been collected more frequently. So much of the story of 20th century suburbanization, urban and small-town decline, and reconsolidation can only be told through infrequent, coarse snapshots.

And I wish I had been carrying a GPS receiver around with me (or that it had even been possible to do so) for longer, so that I could understand my own historic travel patterns better. I faintly remember walking to school as a kid and wondering, if I don’t remember this walk, did it really happen? Now my perspective is, if there is no GPS track, did it really happen?

Q: Are you a geohipster? Why or why not?

A: I think the most hipster thing I’ve got going on is a conviction that I’m going to find a hidden gem in a pile of forgotten old songs, except that I’m doing my searching in promo copies of 70-year-old sheet music instead of in the used record stores.