Geoprocessing with Python

by Chris Garrard

Geoprocessing with Python teaches you how to access available datasets to make maps or perform your own analyses using free tools like the GDAL, NumPy, and matplotlib Python modules. Through lots of hands-on examples, you’ll master core practices like handling multiple vector file formats, editing geometries, applying spatial and attribute filters, working with projections, and performing basic analyses on vector data. The book also covers how to manipulate, resample, and analyze raster data, such as aerial photographs and digital elevation models.

Genres: Coding

544 pages, Kindle Edition

First published March 2, 2016

Reviews

[Michal Paszkiewicz · Rating 5 out of 5]

An excellent read to get one started with geoprocessing. It covers all of the essentials and then includes some stretch applications, such as machine learning classification of maps.