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Learning Geospatial Analysis with Python - Third Edition

You're reading from  Learning Geospatial Analysis with Python - Third Edition

Product type Book
Published in Sep 2019
Publisher Packt
ISBN-13 9781789959277
Pages 456 pages
Edition 3rd Edition
Languages
Author (1):
Joel Lawhead Joel Lawhead
Profile icon Joel Lawhead
Toc

Table of Contents (15) Chapters close

Preface 1. Section 1: The History and the Present of the Industry
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

Creating the simplest possible Python GIS

Now that we have a better understanding of geospatial analysis, the next step is to build a simple GIS known as SimpleGIS using Python. This small program will be a technically complete GIS with a geographic data model and the ability to render the data as a visual thematic map showing the population of different cities.

The data model will also be structured so that you can perform basic queries. Our SimpleGIS will contain the state of Colorado, three cities, and population counts for each city.

Most importantly, we will demonstrate the power and simplicity of Python programming by building this tiny system in pure Python. We will only use modules available in the standard Python distribution without downloading any third-party libraries.

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