Azavea Blog - Geospatial and Software Development Topics

Ground truth imperfectly overlaying machine learning predictions.

Using Noisy Labels to Train Deep Learning Models on Satellite Imagery

By Lewis Fishgold on August 5th, 2019

How do noisy labels affect the accuracy of a deep learning model? We added different amounts of noise to the SpaceNet Vegas buildings dataset and trained some models to find out.

Picture of dice overlaid with charts from Anscombe's Quartet.

Software Engineering

Lies, Damned Lies, and Accuracy Metrics

By Joe Morrison on July 31st, 2019

How accurate of a machine learning model can you make? It depends on how we decide to define "accurate".

Picture of countryside road side-by-side a torn aerial cityview.

Spatial Analysis

Exploring the Urban-Rural Divide through Politicians’ Social Media

By Luke McKinstry on July 23rd, 2019

In this blog we look at how urban-rural differences play out in the way elected officials adopt social media and hope to shed light on this supposed wedge in a divided country.

Man in sweater riding electric scooter through streets.

Company

The Scooters Are Coming: Let’s Require Data This Time

By Robert Cheetham on July 10th, 2019

Open data and open standards can play a central role in providing safe, equitable, and efficient transportation for everyone. The scooters are coming. We should demand data this time.

Viridis color scheme applied to analysis of part of the U.S.

Software Engineering

Introducing WMS and WCS Support for GeoTrellis and Raster Foundry

By Nathan Zimmerman on July 3rd, 2019

Raster Foundry and GeoTrellis now support WMS and WCS standards, enabling streamlined workflows that utilize multiple data sources.

Company

Trends in Local Elections in 2019

By Daniel McGlone on July 1st, 2019

Many U.S. cities opt for spring elections. We tracked almost 60 local elections happening throughout the U.S. since March. We discuss partisan trends and elected official turnover rates.

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