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


In this chapter, you have learned how to use Python in QGIS. You started by learning the basics of loading a layer and displaying it on the map, and then progressed to adding, editing, and deleting features. You learned how to select features, highlight the selection, and how to use expressions. Then, we took advantage of pre-built geoprocessing tools and you learned how to call toolbox algorithms using processing. Lastly, you learned how to write your own toolbox.

In the next chapter, you will learn how to use Python with Esri tools. You will learn how to use Jupyter Notebooks in a browser to interact with cloud-based datasets and how to use the Esri API for Python to perform basic geospatial analysis and to create ArcGIS Online web maps.