Preparing Data for MaxEnt Species Distribution Modeling Using R
By Dale Watt on October 9th, 2018
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: Predicting Marine Debris
By Xiao Wu on October 8th, 2018
Evaluating machine learning models in R with a focus on how to handle biased and imperfect data, specifically volunteer collected marine debris data.
Summer of Maps Fellows Complete Data Analysis Projects for 6 Nonprofits
By Dan Ford on September 25th, 2018
Summer fellows completed projects for nonprofits, helping the organizations answer questions related to environmental, public health, and political issues.
Three (Earth) Observations from Sat Summit 2018
By Joe Morrison on September 24th, 2018
Here are our key takeaways from SatSummit and some thoughts to help drive innovation related to earth observation data toward impactful solutions.
Public Redlining Exhibit Showcases Azavea’s Data Analysis Work
By Stacy Deininger on September 21st, 2018
In September 2018, a free exhibit opened to the public on the history of redlining in Philadelphia. Read about how our Data Analytics team was involved.
Cleaning Philadelphia Campaign Finance Data with R
By Gabrielle Beaudry on September 20th, 2018
How to categorize, clean, filter, and prepare Philadelphia's campaign finance data for analysis, mapping, and visualization.