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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

Coordinate conversion

When you start working with multiple data sets you'll inevitably end up with data in different coordinate systems and projections. You can convert back and forth between UTM and latitude/longitude using a pure Python module called utm. You can install it using easy_install or pip from PyPI:

https://pypi.python.org/pypi/utm

The utm module is straightforward to use. To convert from UTM to latitude and longitude:

>>> import utm
>>> y = 479747.0453210057
>>> x = 5377685.825323031
>>> zone = 32
>>> band = 'U'
>>> utm.to_latlon(y,x,zone,band)
(48.55199390882121, 8.725555729071763)

The UTM zones are numbered horizontally. However, vertically, the bands of latitude are ordered by English alphabets with a few exceptions. The letters A, B, Y, and Z cover the poles. The letters I and O are omitted because they look too much like 1 and 0. Letters N through X are in the northern hemisphere while C through M are...

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