Big data sets are not only 'big' in size and/or number of records, but also in the variety of stories and insights they hold. Piling millions of points on a map can be beautiful and eye-catching, but what story does it tell? Each coordinate in the data provides the opportunity to extract meaningful patterns and observations at multiple scales over a variety of topics. The result? Maps driven by big data that are both beautiful and informative.
Sometimes your map needs a little extra polish. In this talk, I will outline my workflow for bringing maps from QGIS into Inkscape and exporting to commonly used formats to produces a finished professional-quality map. It will include "do's" and "don'ts" to help you develop your own workflow and avoid common pitfalls, as well as some features unique to Inkscape such as filters.
NPMap builds tools and services to help national parks create beautiful digital maps. We use the OpenStreetMap model to create a dynamic cartographic database used to power custom National Park Service basemaps.
Our current technology backend is a PostGIS database in the OpenStreetMap schema. We use commercially supported FOSS tools from CartoDB and Mapbox to publish map products that combine official NPS data inside parks and OSM data outside of parks.