
In this post, we calculate and discuss daytime population at the census tract level for the entire US.
In this post, we calculate and discuss daytime population at the census tract level for the entire US.

This guide presents the steps to convert a GIS shapefile of streets or roads into an SVG file that can be viewed and manipulated in Adobe Illustrator or a similar program.

This is the first post in a series dedicated to presenting solutions to common challenges that developers encounter when moving from an imperative programming approach to functional programming (FP). I will present a series of problems and provide solutions in both Java and Elixir, a functional language running on the Erlang VM.
In this blog, we discuss our experience displaying hierarchical geographic data with a D3 tree, and how to fit multiple maps of Philadelphia on one page.

In this post, we detail our experience creating a tree planting prioritization model in QGIS.

In this post we detail our experience making custom infowindows and legends in CartoDB Editor

By now you have probably heard all the hype about functional programming (FP) and may have even dipped your toe in the water by trying out one of the other Lisp dialects. Maybe you have experimented with some of the functional elements of Scala, Ruby, Python, or one of the newer languages.
Now in its fourth year, Azavea’s Summer of Maps Program has become an important resource for non-profits and student GIS analysts alike. Non-profits receive pro bono spatial analysis work that can enhance their organizational decision-making processes and programmatic activities, while students benefit from Azavea mentors’ expertise. This year, three fellows worked on projects for six organizations that spanned…

In this blog we provide a few tips to manage base map features and create an atlas-style map with many layers without distracting from the information presented.

In this blog post we discuss our work with The Legal Clinic for the Disabled (LCD) and our efforts to help them compare their client intake records with publicly-available geographic data in order to explore the relationship between poverty, disability, and unsafe or substandard housing conditions.
