Tag Archives: maps and mappers

Maps and Mappers of the 2019 Calendar: Aly Ollivierre

Q: Tell us about yourself.

A: I work full-time as a Cartographer at National Geographic Maps, part-time conducting freelance work as Tombolo Maps & Design, and part-time working with the conservation NGO BirdsCaribbean. I’m rounding up on 10 years of experience at the end of 2019 and am passionate about beautiful maps, participatory mapping, bird conservation, addressing climate change, and working in small island developing states. I recently published a co-authored book entitled Birds of the Transboundary Grenadines, which is part bird guide, part atlas, part photo-book-pretty-enough-for-your-coffee-table, and part historical and sociological dive into the connection between birds and the people of the Grenadines. This was the culmination of 7 years of collaboration with my incredible co-author, Juliana Coffey, and the local communities in these tiny islands which are split between the Eastern Caribbean countries of Saint Vincent and the Grenadines and Grenada (where I’ve lived on and off since 2011). Morale of the story: I have a lot of overlapping passions, which is how I ended up deciding to study geography anyway. (Did I mention I also make map jewelry?)

Q: 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).

A: As a history minor, some of my favorite courses in undergrad at Middlebury College were on historical geography (taught by the exceptionally inspiring Dr. Anne Kelly Knowles). I profoundly appreciated how historical geography could be used to understand how and why things happened and decisions were made (flashback to Historical Geography of North America and reading topographic maps which visualized how Civil War battles were lost or won). 

Today, like any normal person with a map obsession, I spend my fair share of time keeping an eye on David Rumsey’s Map Collection and, during one of my stints living in Maine, I found this historic map of Portland from 1851:

I was surprised to see how dramatically the coastline had been changed in the past century and a half, and—as most cartographers are inclined to do—I immediately wanted to map it and show the amount of land reclamation on the peninsula, particularly in Back Cove. It is also really cool to see how the downtown buildings changed from small houses and businesses to city block-sized multi-purpose buildings made up of storefronts, office space, and apartments.

While it took me a while to make the time to fit this just-for-fun map into my crazy schedule, I’m glad I finally made it happen!

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

A: This map was made by combining the 1851 Map of the City of Portland, Maine (from original surveys by Henry F. Walling, Civil Engineer) with current data for Portland in ArcGIS and Adobe Illustrator with Avenza MAPublisher. I started by georeferencing the historic map with contemporary data in ArcGIS and then I completed the cartographic design work in Illustrator. To break that down further, I spent a considerable amount of time in Photoshop cleaning up the historic map (removing the sketches and labels and adjusting the different shades in which it had faded) so that I could have a clean and not overly distracting background on top of which I could add current data and my own labels. I also digitized the coastline from the historic map to make sure it stood out and went through quite a few design iterations before choosing one whose color scheme was historical with a modern pop, and still allowed for full visibility of all of the historic and modern data.

Maps and Mappers of the 2019 GeoHipster calendar — Team Bright Rain, April

Q: Tell us about yourself.

A: I was surprised that we were the only collaboration to submit an entry, we are a team of two strong here at Team Bright Rain:

David Puckett

Bright Rain Solutions’ owner, operator, geospatial developer, data wrangler and self professed Grand Poobah. I’ve been part of the Geo Community for over twenty years and still get fantastically excited about all things geo. I’ve been known to run a workshop or two and have taught a class on web mapping. I consider myself a ‘bridger’ between the proprietary and open source worlds. And some of my best friends are “proprietarians”.

Andrew Lindley

Bright Rain’s Dynamic Technologist with an earnest mission to change the way you put boots and hats on maps. Drew has been with Bright Rain for two years and earned a degree in Geography from the University of British Columbia. He was also the star student in my GIS programming class, from which I promptly drafted him.

Q: 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).

A: When it hit me, I literally jumped out of my chair and hollered, “Hexes in Texas!,” with a rousing “Yes! Divorce Rates in Texas!” and All My Hexes Live in Texas was born. It could have been the boots… I happened to be wearing cowboy boots that day… It could have been the H3 hexagon project we had going. But it was definitely cosmic inspiration.

The map is honest to goodness tongue-in-cheek grit but it also brought several interests together for us and that’s why we were excited (and committed enough) to create and submit it. It’s funny yet not so silly that we couldn’t actually wrangle some real data and present it in, dare I say, a (geo)hip way. We love the slight clash between the slick, modern feel of the web map and the old timey western feel of the title text, hat and boot.

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

A: We are web (map) developers so our toolset in making this map definitely embodies that. The map was created as a web map and later exported and enhanced in Adobe Illustrator to create the final image output. Mapbox GL was used to display and extrude counties as hexagons based on the divorce rate within the county. The hexagons themselves were generated using Uber Engineering’s H3 Hexagonal Hierarchical Spatial Index (Javascript) library (at scale level 5).

DATA

Data was gathered from the state of Texas (population per county and divorces per county) and the US Census Bureau (us states: Tennessee).

Texas 2012 Population Estimates by County

https://www.dshs.texas.gov/chs/popdat/ST2012e.shtm

Texas 2012 Marriage and Divorce by County

http://www.dshs.state.tx.us/chs/vstat/vs12/t39.shtm

Texas County Boundaries (shapefile, SHAPEFILE!)

http://gis-txdot.opendata.arcgis.com/datasets/9b2eb7d232584572ad53bad41c76b04d_0

ANALYSIS

Analysis was conducted in QGIS where the divorce rate per thousand was calculated and the hexagons were assigned a value for extrusion (based on divorce rate calculation). The resulting hexagons with divorce rates assigned were exported as geojson for direct use in the web application.

AND

An interactive, web map version is here:

http://dev.brightrain.com/hexes-in-texas/