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Learning Geospatial Analysis with Python

You're reading from   Learning Geospatial Analysis with Python If you know Python and would like to use it for Geospatial Analysis this book is exactly what you've been looking for. With an organized, user-friendly approach it covers all the bases to give you the necessary skills and know-how.

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Product type Paperback
Published in Oct 2013
Publisher Packt
ISBN-13 9781783281138
Length 364 pages
Edition 1st Edition
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Author (1):
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Joel Lawhead Joel Lawhead
Author Profile Icon Joel Lawhead
Joel Lawhead
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Table of Contents (12) Chapters Close

Preface 1. Learning Geospatial Analysis with Python 2. Geospatial Data FREE CHAPTER 3. The Geospatial Technology Landscape 4. Geospatial Python Toolbox 5. Python and Geographic Information Systems 6. Python and Remote Sensing 7. Python and Elevation Data 8. Advanced Geospatial Python Modelling 9. Real-Time Data 10. Putting It All Together Index

Chapter 4. Geospatial Python Toolbox

The first three chapters of this book covered the history of geospatial analysis, the types of geospatial data used by analysts, and the major software and libraries found within the geospatial industry. We used some simple Python examples here and there to illustrate certain points but we focused mainly on the field of geospatial analysis independent of any specific technology.

Starting here, we will be using Python to conquer geospatial analysis and we will continue with that approach for the rest of the book. In this chapter, we'll discover the Python libraries used to access the different types of data found in the Vector data and Raster data sections of Chapter 2, Geospatial Data. Some of these libraries are pure Python and some are bindings to the different software packages found in Chapter 3, The Geospatial Technology Landscape.

We will examine pure Python solutions whenever possible. Python is a very capable programming language...

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