Learn to create a series of data-driven infographics in the context of a project that evaluates bus performance in each Philadelphia City Council District.
Learn to create a series of data-driven infographics in the context of a project that evaluates bus performance in each Philadelphia City Council District.
We worked with Jane Place Neighborhood Sustainability Initiative as part of the 2018 Summer of Maps program to analyze evictions data in New Orleans.
Learn how to use image processing and remote sensing techniques in R and ArcGIS to digitize spatial data from image or PDF files.
How to use R to turn disparate environmental data into clean, usable raster data that can be fed into a MaxEnt species distribution model.
Evaluating machine learning models in R with a focus on how to handle biased and imperfect data, specifically volunteer collected marine debris data.
How to categorize, clean, filter, and prepare Philadelphia’s campaign finance data for analysis, mapping, and visualization.
An analysis of areas vulnerable to utility insecurity completed for the Legal Clinic for the Disabled as part of the Azavea Summer of Maps program.
Explore Pennsylvaniaโs soon-to-be-defunct gerrymandered Congressional districts through info prepared for a U.S. Federal Court expert witness report.
This high level analysis joins newly released open data with Police Districts to create a map of Complaints Against Philadelphia Police from 2013 to 2017.
We used GeoPySpark, Python binding for GeoTrellis, to analyze climate change data and determine Arizona airports at risk for excessive heat days.