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Learning Geospatial Analysis with Python

You're reading from   Learning Geospatial Analysis with Python Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7

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Product type Paperback
Published in Sep 2019
Publisher
ISBN-13 9781789959277
Length 456 pages
Edition 3rd 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 (15) Chapters Close

Preface 1. Section 1: The History and the Present of the Industry FREE CHAPTER
2. Learning about Geospatial Analysis with Python 3. Learning Geospatial Data 4. The Geospatial Technology Landscape 5. Section 2: Geospatial Analysis Concepts
6. Geospatial Python Toolbox 7. Python and Geographic Information Systems 8. Python and Remote Sensing 9. Python and Elevation Data 10. Section 3: Practical Geospatial Processing Techniques
11. Advanced Geospatial Python Modeling 12. Real-Time Data 13. Putting It All Together 14. Other Books You May Enjoy

Understanding coordinate conversion

Coordinate conversion allows you to convert point coordinates between different coordinate systems. 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 two of the most common coordinate systems, UTM and geographic coordinates (latitude and 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 into latitude and longitude, you can use the following code:

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...

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