April 2018
Beginner to intermediate
440 pages
11h 36m
English
Content preview from Mastering Geospatial Analysis with Python
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Summary
This chapter provided an overview of major data types in GIS. After explaining the difference between vector and raster data, the following vector and raster data types were covered—Esri shapefiles, GeoJSON, KML, GeoPackages, and GeoTIFF files. Next, we explained how to use some of the earlier described Python code libraries to read and write geospatial data. The following geospatial Python libraries for reading and writing raster and vector data were covered in particular—GeoPandas, OGR, GDAL, and Rasterio. Apart from reading and writing different geospatial data types, you learned how to use these libraries to perform file conversion between different data types and how to upload and download data from geospatial databases and remote ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.