Today I am happy to announce the results from the R Shapefile Contest.
The contest was an incredible success – there were 19 entries that covered a range of topics. Each entry was well thought out, and I encourage you to read each of them.
Here are the entries, in order of submission:[content_upgrade cu_id=”3205″]Bonus: Get all the entries as a PDF![content_upgrade_button]Click Here[/content_upgrade_button][/content_upgrade]
|Cambridge Outdoor Lighting Ordinance||Kent S Johnson|
|Long-Term View of Tornado Risk: County-Level Tornado Rates Adjusted for Population & Exposure||James B. Elsner, Thomas H. Jagger, and Tyler Fricker|
|Airport Effects on U.S. County Unemployment Rates||Robby Powell|
|Australian Federal Election 2016 – Polling Place Breakdown||Jonathan Carroll|
|National Propensity to Cycle Tool||Propensity to Cycle Tool team|
|Getting Started With CaricRture||Chris Brunsdon|
|Spatial neighbors in R – an interactive illustration||Kyle Walker|
|Working with Shapefiles||Dennis Chandler|
|Crime in Greece in 2010||Nikos Papakonstantinou|
|R & Shapefile, a short script||geoobserver|
|SociocaRtograpy: Delhi Crime Map||Parth Khare|
|Hong Kong Population Center of Gravity (COG)||Fung Yip|
|Overview of ground-based rainfall measurement network data quality for Venezuela||Andrew Sajo|
|Venezuelan rainfall dynamics||Andrew Sajo|
|Washington, DC Parking Violations||Andrew Breza|
|Marine Boundaries in R: Reading EEZ Shapefiles||Daniel Palacios|
|London Crime Analysis||Henry Partridge|
|Twitter Sentiment analysis of Trump and Clinton||Charlie Thompson|
Please join me in thanking each of the entrants!
As a reminder, the goal of the contest was to “do something in R, with a shapefile, that does something other than make a choropleth map”. This goal was entirely selfish: I have spent years analyzing data using choropleth maps. But as I don’t have a background in geospatial statistics, I am really not aware of what other analytical techniques I can be using. I hoped that by running a contest I could learn some more useful techniques that I could then apply to my own work.
There are actually two winners to the contest. They both provided concise explanations, and real-world demonstrations, of geospatial concepts that I was simply not aware of.
It’s worth pointing out that both of the winning entries used RStudio’s Shiny framework.
Several entries besides the winners stood out as teaching me something new in the area of R and shapefiles in a concise, enjoyable way:
As a reminder, both of the winners will get two prizes:
I will be in touch with the winners today about how to get their copies of the courses.[content_upgrade cu_id=”3205″]Bonus: Get all the entries as a PDF![content_upgrade_button]Click Here[/content_upgrade_button][/content_upgrade]