Scoring Philadelphia City Council districts on assets and risks using a weighted spatial analysis model in R and Python.
Scoring Philadelphia City Council districts on assets and risks using a weighted spatial analysis model in R and Python.
This release of Raster Vision includes bug fixes, an easier setup, improved performance, and the ability to train models off of labels in OSM.
Aster Vision is an open source machine learning library for analyzing huge troves of astrospatial data and finding habitable planets around nearby stars.
We are excited to announce the launch of the Open Apparel Registry, an open source global map of garment producing facilities.
Tree-shaking lodash can reduce the size of your JavaScript bundle, but it requires that a few conditions are met along the way to implementing it.
TileJSON.io is an open source project by Azavea. It is an easy way to view and share raster tile sets using slippy map endpoints.
We leveraged our ability to process raster imagery, our open sources libraries, and our knack for machine learning to map agricultural fields in Africa.
Accuracy in deep learning models is not as cut and dry as many present it to be. We examine several examples where accuracy is more of a judgment call.
Over 1.3 million people are killed on the world’s roads every year. More than 30 million suffer life-changing injuries. Based on current trauma levels an estimated 400 million people will be killed or injured between now and 2030. Source: IDB Road crashes are a leading cause of death globally, but these deaths occur mostly in…
As a mission-based organization, how we select the projects we pursue is an ongoing conversation at Azavea. We share our thought process here.