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Python Geospatial Development

You're reading from   Python Geospatial Development Develop sophisticated mapping applications from scratch using Python 3 tools for geospatial development

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Product type Paperback
Published in May 2016
Publisher
ISBN-13 9781785288937
Length 446 pages
Edition 3rd Edition
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Author (1):
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Erik Westra Erik Westra
Author Profile Icon Erik Westra
Erik Westra
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Toc

Table of Contents (15) Chapters Close

Preface 1. Geospatial Development Using Python FREE CHAPTER 2. GIS 3. Python Libraries for Geospatial Development 4. Sources of Geospatial Data 5. Working with Geospatial Data in Python 6. Spatial Databases 7. Using Python and Mapnik to Generate Maps 8. Working with Spatial Data 9. Improving the DISTAL Application 10. Tools for Web-based Geospatial Development 11. Putting It All Together – a Complete Mapping System 12. ShapeEditor – Importing and Exporting Shapefiles 13. ShapeEditor – Selecting and Editing Features Index

Chapter 6. Spatial Databases

In this chapter, we will look at how you can use a PostGIS database to store and work with spatial data. In particular, we will cover:

  • The concept of a spatially enabled database
  • Spatial indexes and how they work
  • How PostGIS acts as an extension to the PostgreSQL relational database
  • How to install PostgreSQL, PostGIS, and the psycopg2 Python database adapter onto your computer
  • How to set up and configure a spatial database using PostGIS
  • How to use the psycopg2 database adapter to access a spatial database from your Python code
  • How to create, import, and query against spatial data using Python
  • Recommended best practices for storing spatial data in a database

This chapter is intended to be an introduction to using databases in a geospatial application. Chapter 8, Working with Spatial Data, will build on this to perform powerful spatial queries not possible using shapefiles and other geospatial data files.

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