Azavea Blog - Geospatial and Software Development Topics

Highlighting NumFocus Projects: How Open Source Projects Empower Our Work

By Alana Hill on April 8th, 2022

NumFocus is a nonprofit that supports many open source tools used in Azavea's projects. Here, we highlight how they have supported our work.

Spatial Analysis

A Tool to Highlight Underfunded and Under-resourced Communities: A Peek Behind the Technical Curtain of Headwaters Economics’ Rural Capacity Index

By Jillian Long and Adeel Hassan on March 30th, 2022

To address the disparity in access to funding resources, we partnered with Headwaters Economics to develop the Rural Capacity Index.

Software Engineering

Our Top 3 Netlify Use Cases: Deciding When to Use Netlify

By Alana Hill, Tai Wilkin and Terence Tuhinanshu on March 23rd, 2022

Netlify is a platform for web developers and designers that offers hosting and serverless backend services. Here, we provide Azavea's top three use cases for it and its benefits for our software engineers and designers.

Software Engineering

Create a Windows Application Without Windows

By Casey Cesari on March 3rd, 2022

All of our developers are on Mac or Linux, but we can still do Windows work using .NET Core. Using this open-source technology we can develop applications for organizations that are restricted to a Windows-based environment and .NET technologies.

Company

Evolution of DEI Efforts at Azavea

By Alana Hill, Julie Garcia, Niki LaGrone and Stacy Deininger on February 25th, 2022

At Azavea we strive to create a diverse, equitable, and inclusive work environment. As we consider how to thoughtfully grow and strengthen our workplace, we reflect on what we have learned over the years in order to chart our path forward.

Spatial Analysis

Machine Learning to Drive Urban Resilience: Mapping Tree Canopy with the World Bank

By Niki LaGrone on February 4th, 2022

As one of seven pilot programs to address environmental issues in Africa, Azavea trained student workers to label satellite imagery using GroundWork and created a machine learning model to identify tree canopy.

Featured Posts

Cloud Detection in Satellite Imagery

This Month We Learned — February 2021