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Mastering Geospatial Analysis with Python
book

Mastering Geospatial Analysis with Python

by Silas Toms, Paul Crickard, Eric van Rees
April 2018
Beginner to intermediate
440 pages
11h 36m
English
Packt Publishing
Content preview from Mastering Geospatial Analysis with Python

Raster and vector data

Before diving into some of the most used GIS data types, a little background is required about what type of information geographical data represents. Earlier in this book, the distinction between raster and vector data was mentioned. All GIS data is comprised of one or the other, but a combination of both vectors and rasters is also possible. When deciding on which data type to use, consider the scale and type of geographical information represented by the data, which in turn determines what Python data libraries to use. As is illustrated in the following examples, the choice for a certain Python library can also depend on personal preference, and there may be various ways to do the same task.

In the geospatial world, ...

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Publisher Resources

ISBN: 9781788293334