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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 FREE CHAPTER 2. Introduction to Geospatial Code Libraries 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

Working with PostgreSQL and PostGIS using Python

To connect and manipulate your PostgreSQL database in Python, you will need a library to assist you. psyscopg2 is that library. It provides a wrapper around the official libpq client library. In this section, we will cover how to install the library, how to connect to the database, and how to add a table and perform basic geospatial queries.

Connecting to PostgreSQL using psycopg2

pscycopg2 is the most popular library for working with PostgreSQL in Python. It fully implements the Python DB API 2.0 specification and works with Python 3. In the following sections, you will learn how to install the library, make connections, execute queries, and read the results. You...

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