By Ross Bernet and Simon Kassel on July 7th, 2020
CurbLR is a promising new open data specification for curb regulation. We used it to visualize and analyze Philadelphia's curb management approaches affect on traffic.
By Simon Kassel on June 9th, 2020
We pulled data from disparate hospital data sources to create a comprehensive national dataset of the hospital system for the COVID-19 response, using geocoding, proximity matching, and fuzzy string matching.
By Daniel McGlone on April 30th, 2020
The census has asked to delay delivery of data. What will that mean for redistricting and elections?
By Fay Walker on September 26th, 2019
Using R and QGIS to analyze substandard housing in Philadelphia with open data. We used open data to identify violations, evictions, and illegal rentals.
Putting Native American Voters on the Map: Using Cadastral Data to Geocode Non-Traditional Addresses
By Fay Walker on September 12th, 2019
We used cadastral land survey data to geocode previously unmappable Native American voters in Montana.