Articles related to practical cartography from the team that helps B2C companies build and defend revenue with AI.
This post is part of our practical cartography [https://faraday.ai/blog/tag/practical-cartography] and data science [https://faraday.ai/blog/tag/data-science] series. The problem: you want to split up a few million U.S. address records into equally-sized chunks that retain spatial hierarchy. You want to do this
This post is part of our practical cartography [https://faraday.ai/blog/tag/practical-cartography] series. Most American geographers will note that - as much as we'd like it to be otherwise - ZIP Codes are not polygons. Rather, they're constantly-changing lines used by the USPS to coordinate delivery in an
This post is part of our practical cartography [https://faraday.ai/blog/tag/practical-cartography] series. We just rebuilt our Argo [https://www.npmjs.com/package/argo-geo] reverse-geocoding module as a proper command-line tool. Got a pile of coordinates in a table like this? Pipe them through argo to get the
This post is part of our data science [https://faraday.ai/blog/tag/data-science] and practical cartography [https://faraday.ai/blog/tag/practical-cartography] series. > GNU parallel [https://www.gnu.org/software/parallel/] + ogr2ogr [http://www.gdal.org/ogr2ogr.html] = happy data scientists These power tools in combination make it very
This is part of our practical cartography [https://faraday.ai/blog/tag/practical-cartography] and PostgreSQL [https://faraday.ai/blog/tag/postgres] series. Put a map on it! Sometimes it's a pain to open up QGIS [http://docs.qgis.org/2.14/en/docs/training_manual/databases/db_browser.html] and
At Faraday, we dig OSM. OpenStreetmap [http://osm.org/] (OSM) is the foundation of our basemap and a model of the power of open data. It guides customers on our platform to their ideal audiences . . . . . . and it serves as building blocks for geospatial analysis, both the kind we already do