In subsequent tutorials: shapefiles will be used as boundaries, realistic city streets will be mapped, and satellite data will be analyzed. As an introduction to the library and geographic visualizations, some simple tests will be conducted to ensure that the Cartopy library was successfully installed and is working properly. In this tutorial, Anaconda 3 will be used to install Cartopy and related geographic libraries. Cartopy can be used to plot satellite data atop realistic maps, visualize city and country boundaries, track and predict movement based on geographic targeting, and a range of other applications relating to geographic-encoded data systems.
It is the successor to the the Basemap Toolkit, which was the previous Python library used for geographic visualizations (several Basemap tutorials can be found on our site: Geographic Mapping from a CSV File, Satellite Imagery Analysis, GOES-16 Latitude/Longitude Projection Algorithm). Cartopy is a cartographic Python library, hence its naming convention, that was developed for applications in geographic data manipulation and visualization.
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