Chris Garrard (2016)
Geoprocessing with Python teaches you how to use the Python programming language along with free and open source tools to read, write, and process geospatial data. You’ll learn how to access available data sets to make maps or perform your own analyses using free and open source tools like the GDAL, Shapely, and Fiona Python modules. You’ll master core practices like handling multiple vector file formats, editing and manipulating geometries, applying spatial and attribute filters, working with projections, and performing basic analyses on vector data. You’ll also learn how to create geospatial data, rather than just consuming it. The book also covers how to manipulate and analyze raster data, such as aerial photographs, satellite images, and digital elevation models.
- Geoprocessing from the ground up
- Using OGR, Fiona, and Shapely to work with vector data
- Using GDAL to read and write raster data efficiently
- Processing and analyzing raster data with NumPy and SciPy
- Visualizing data with Matplotlib
- Write your own custom geoprocessing tools