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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

Desktop tools (including visualization)

Geospatial analysis requires the ability to visualize output in order to be complete. This fact makes tools, which can visualize data absolutely critical to the field. There are two categories of geospatial visualization tools. The first is geospatial viewers and the second is geospatial analysis software. The first category—geospatial viewers, allows you to access, query, and visualize data but not edit it in any way. The second category allows you to perform those items and edit data too. The main advantage of viewers is that they are typically lightweight pieces of software that launch and load data quickly. Geospatial analysis software requires far more resources to be able to edit complex geospatial data, so it loads slower and often renders data more slowly to provide dynamic editing functionality.

Quantum GIS

Quantum GIS, more commonly known as QGIS, is a complete open source geographic information system. QGIS falls well within the geospatial...

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