Book Image

Mastering Geospatial Analysis with Python

By : Silas Toms, Paul Crickard, Eric van Rees
Book Image

Mastering Geospatial Analysis with Python

By: Silas Toms, Paul Crickard, Eric van Rees

Overview of this book

Python comes with a host of open source libraries and tools that help you work on professional geoprocessing tasks without investing in expensive tools. This book will introduce Python developers, both new and experienced, to a variety of new code libraries that have been developed to perform geospatial analysis, statistical analysis, and data management. This book will use examples and code snippets that will help explain how Python 3 differs from Python 2, and how these new code libraries can be used to solve age-old problems in geospatial analysis. You will begin by understanding what geoprocessing is and explore the tools and libraries that Python 3 offers. You will then learn to use Python code libraries to read and write geospatial data. You will then learn to perform geospatial queries within databases and learn PyQGIS to automate analysis within the QGIS mapping suite. Moving forward, you will explore the newly released ArcGIS API for Python and ArcGIS Online to perform geospatial analysis and create ArcGIS Online web maps. Further, you will deep dive into Python Geospatial web frameworks and learn to create a geospatial REST API.
Table of Contents (23 chapters)
Title Page
Copyright and Credits
Packt Upsell
Geoprocessing with Geodatabases

Chapter 12. GeoDjango

The Django Python web framework was made available in 2005 and has been steadily supported and improved throughout the years. One major improvement was additional support for spatial data types and queries. This effort produced GeoDjango, allowing Django to support geospatial database models and web views that utilize geospatial queries.

GeoDjango is now a standard Django component, which can be activated using a specific configuration. In December 2017, Django 2 was released as the new long-term support version. It currently supports Python 3.4, 3.5, and 3.6.

In this chapter, we will learn about the following:

  • Installation and configuration of Django and GeoDjango
  • Django admin panel functionality, including map editing
  • How to load shapefiles into database tables using LayerMapping
  • GeoDjango queries
  • Django URL patterns
  • Django views