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Python GeoSpatial Analysis Essentials

You're reading from   Python GeoSpatial Analysis Essentials Process, analyze, and display geospatial data using Python libraries and related tools

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781782174516
Length 200 pages
Edition 1st Edition
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Author (1):
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Erik Westra Erik Westra
Author Profile Icon Erik Westra
Erik Westra
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Libraries for spatial analysis


You already have a couple of libraries that are useful for analyzing geospatial data: the OGR library includes methods for comparing and manipulating geometries, and Shapely is a wonderful library for working with and analyzing geometry data. There are, however, two other libraries that you will want to become familiar with: PyProj, which is a powerful library for calculating distances and locations on the Earth's surface, and NetworkX, which can build abstract mathematical models out of geospatial data and then analyze those models to solve various problems.

Let's take a closer look at these two libraries and install them both onto your computer.

PyProj

PyProj (https://pypi.python.org/pypi/pyproj) is a powerful tool for working with spatial reference systems using Python. PyProj itself is simply a Python interface to the PROJ.4 cartographic projection library, which is written in C. So, to install PyProj, you typically need to install the PROJ.4 library, and...

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