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Mastering Geospatial Analysis with Python

You're reading from   Mastering Geospatial Analysis with Python Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788293334
Length 440 pages
Edition 1st Edition
Languages
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Authors (3):
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Silas Toms Silas Toms
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Silas Toms
Paul Crickard Paul Crickard
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Paul Crickard
Eric van Rees Eric van Rees
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Eric van Rees
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Table of Contents (18) Chapters Close

Preface 1. Package Installation and Management 2. Introduction to Geospatial Code Libraries FREE CHAPTER 3. Introduction to Geospatial Databases 4. Data Types, Storage, and Conversion 5. Vector Data Analysis 6. Raster Data Processing 7. Geoprocessing with Geodatabases 8. Automating QGIS Analysis 9. ArcGIS API for Python and ArcGIS Online 10. Geoprocessing with a GPU Database 11. Flask and GeoAlchemy2 12. GeoDjango 13. Geospatial REST API 14. Cloud Geodatabase Analysis and Visualization 15. Automating Cloud Cartography 16. Python Geoprocessing with Hadoop 17. Other Books You May Enjoy

Installing PostgreSQL and PostGIS on Windows

You can install PostGIS by installing PostgreSQL and then install PostGIS afterwards, or you can install PostgreSQL and then use Stack Builder, which comes with PostgreSQL, afterwards to add PostGIS. Using Stack Builder allows you to download the desired PostgreSQL version and with a single-click also get the correct PostGIS version.

When I installed PostgreSQL 10, Stack Builder did not include PostGIS. By the time of publication, this should have been added. Screenshots may show a different PostGIS version because I used an old copy of PostgreSQL to show how Stack Builder would work. You can download PostgreSQL from https://www.postgresql.org/download/.

As we proceed, I will walk you through installing PostgreSQL and then using Stack Builder to add PostGIS and a database. After downloading the executable, run it by double-clicking...

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