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Python Geospatial Analysis Essentials by Erik Westra

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Preface

There are several powerful Python libraries for reading, processing, analyzing, and viewing geospatial data. There are also a number of websites that provide high-quality geospatial data, which you can use freely in your own projects. This data will often be the basis for your analysis, providing the shapes of countries, the positions of cities, the outlines of roads, and so on. Using this data in conjunction with the available geospatial libraries gives you a powerful toolkit for performing your own geospatial analysis using Python.

What this book covers

Chapter 1, Geospatial Analysis and Techniques, walks the reader through the process of downloading sample geospatial data, before writing a simple Python program to read and analyze that ...

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