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Learning Geospatial Analysis with Python-Second Edition

You're reading from   Learning Geospatial Analysis with Python-Second Edition An effective guide to geographic information systems and remote sensing analysis using Python 3

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Product type Paperback
Published in Dec 2015
Publisher Packt
ISBN-13 9781783552429
Length 394 pages
Edition 1st Edition
Languages
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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 FREE CHAPTER 2. Geospatial Data 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 Modeling 9. Real-Time Data 10. Putting It All Together Index

Coordinate conversion


When you start working with multiple datasets you'll inevitably end up with data in different coordinate systems and projections. You can convert back and forth between Universal Transverse Mercator (UTM) and latitude/longitude using a pure Python module called utm. You can install it using easy_install or pip from PyPI available at the following link:

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

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

>>> import utm
>>> y = 479747.0453210057
>>> x = 5377685.825323031
>>> zone = 32
>>> band = 'U'
>>> print(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...

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