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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 5. Python and Geographic Information Systems

This chapter will focus on applying Python to functions typically performed by a Geographic Information System (GIS) such as QGIS or ArcGIS. We will continue to use as few external dependencies as possible outside Python itself, so you have tools which are as reusable as possible in different environments.

As with other chapters in this book, the items presented here are core functions which serve as building blocks which can be recombined to solve challenges which you will encounter beyond this book. Topics include:

  • Measuring distance
  • Converting coordinates
  • Reprojecting vector data
  • Editing shapefiles
  • Selecting data from within larger data sets
  • Creating thematic maps
  • Conversion of non-GIS data types

This chapter contains many code samples. In addition to the text, code comments are included as guides within the samples.

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