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Python Geospatial Development - Second Edition

You're reading from   Python Geospatial Development - Second Edition If you're experienced in Python here's an opportunity to get deep into Geospatial development, linking data to global locations. No prior knowledge required ‚Äì this book takes you through it all, step by step.

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Product type Paperback
Published in May 2013
Publisher Packt
ISBN-13 9781782161523
Length 508 pages
Edition 2nd 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 (18) Chapters Close

Python Geospatial Development
Credits
About the Author
About the Reviewers
www.PacktPub.com
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. GIS in the Database 7. Working with Spatial Data 8. Using Python and Mapnik to Generate Maps 9. Putting It All Together – a Complete Mapping System 10. ShapeEditor – Implementing List View, Import, and Export 11. ShapeEditor – Selecting and Editing Features Index

Changing datums and projections


If you remember, in Chapter 2, GIS, we discussed that a datum is a mathematical model of the Earth's shape, while a projection is a way of translating points on the Earth's surface into points on a two-dimensional map. There are a large number of available datums and projections—whenever you are working with geospatial data, you must know which datum and which projection (if any) your data uses. If you are combining data from multiple sources, you will often have to change your geospatial data from one datum to another, or from one projection to another.

Task – change projections to combine shapefiles using geographic and UTM coordinates

In this recipe, we will work with two shapefiles that have different projections. We haven't yet encountered any geospatial data that uses a projection—all the data we've seen so far uses geographic (unprojected) latitude and longitude values. So let's start by downloading some geospatial data in Universal Transverse Mercator...

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