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

Virtual environments

To manage the installation of CARTOframes and the other associated Python 3 modules, we will be using the virtual environments package virtualenv. This Python module makes it easy to set up completely separate Python installations on the same computer. Using virtualenv, a copy of Python is created, and when activated, all modules that are installed are separate from the main Python installation (in other words, the modules installed inside a virtual environment will not be added to the main site-packages folder). This allows for a lot less package management headaches.

Installing virtualenv

Installation of the virtualenv package is easy when using pip from PyPI (

pip install virtualenv

This command will add virtualenv and its supporting modules. Make sure that the main Python installation has been added to the path Windows environment variables so that virtualenv can be called from the command line.

Running virtualenv

To create the virtual environment, open a command...