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Python Geospatial Development

You're reading from   Python Geospatial Development Develop sophisticated mapping applications from scratch using Python 3 tools for geospatial development

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Product type Paperback
Published in May 2016
Publisher
ISBN-13 9781785288937
Length 446 pages
Edition 3rd 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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Table of Contents (15) Chapters Close

Preface 1. Geospatial Development Using Python FREE CHAPTER 2. GIS 3. Python Libraries for Geospatial Development 4. Sources of Geospatial Data 5. Working with Geospatial Data in Python 6. Spatial Databases 7. Using Python and Mapnik to Generate Maps 8. Working with Spatial Data 9. Improving the DISTAL Application 10. Tools for Web-based Geospatial Development 11. Putting It All Together – a Complete Mapping System 12. ShapeEditor – Importing and Exporting Shapefiles 13. ShapeEditor – Selecting and Editing Features Index

Chapter 5. Working with Geospatial Data in Python

In this chapter, we will combine the Python libraries and geospatial data covered earlier and use them to accomplish a variety of tasks. These tasks have been chosen to demonstrate various techniques for working with geospatial data in your Python programs; while in some cases there are quicker and easier ways to achieve these results (for example, using command-line utilities) we will create these solutions in Python so that you can learn how to work with geospatial data in your own Python programs.

This chapter will cover the following topics:

  • Working with geospatial data in both vector and raster format
  • Changing the datums and projections used by geospatial data
  • Performing geospatial calculations on points, lines, and polygons
  • Converting and standardizing units of geometry and distance

This chapter is formatted like a cookbook, detailing various real-world tasks you might want to perform and providing "recipes" for accomplishing...

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