Skip to Content
Mastering Geospatial Analysis with Python
book

Mastering Geospatial Analysis with Python

by Silas Toms, Paul Crickard, Eric van Rees
April 2018
Beginner to intermediate content levelBeginner to intermediate
440 pages
11h 36m
English
Packt Publishing
Content preview from Mastering Geospatial Analysis with Python

Introduction to Geospatial Databases

In the previous chapters, you learned how to set up your Python environment and learned about the different libraries available for working with geospatial data using Python. In this chapter, you will start working with data.

Databases provide one of the most popular ways to store large amounts of data, and one of the most popular open source databases is PostgreSQL. PostGIS extends PostgreSQL, adding geographic objects and the ability to query records spatially. When PostgreSQL and PostGIS are combined, they create a powerful geospatial data repository.

Geospatial databases improve on basic relational database queries by allowing you to query your data by location or by location to other features in the ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Learning Geospatial Analysis with Python

Learning Geospatial Analysis with Python

Joel Lawhead

Publisher Resources

ISBN: 9781788293334Supplemental Content