A recent project required us to implement an interactive map of the United States with a custom counties layer. This is what we learned.
A recent project required us to implement an interactive map of the United States with a custom counties layer. This is what we learned.
2020 was awful. Who was accessible changed radically. We, and the people around us, by necessity took on different roles. Including at work.
We chatted with the Open Apparel Registry team about how open data and open source are becoming a larger part of the apparel industry.
To deal with issues of apparel facility list data quality and scale quickly and efficiently we need a machine learning tool that can capture the knowledge of domain experts, find commonalities in jumbled text, and confidently compare large lists without the need to compare each individual entry.
Since its launch on March 28, the Open Apparel Registry (OAR) has grown to include over 18,300 facilities in 92 countries. Weโve already heard of a few fascinating use cases where data from the OAR contributed to decision making by brands and facilities.
Cloud-Optimized GeoTIFFs (COGs) are geoTIFFs hosted on a cloud or file server, and are optimized for remote reads. They proved useful in a recent project.
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.
A guide to transforming open geospatial data into slippy map tiles to display in Leaflet or OpenLayers using PostGIS, QGIS, and QTiles.