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 learned how to use spatial queries to perform geoprocessing tasks. You also learned how to map and chart the results of your queries using ipyleaflet and data frames. You learned how to modify the maps and queries using interactive widgets in Jupyter. Lastly, you learned about how triggers work, and were shown a quick example of data checking using trigger. 

In the next chapter, you will learn how to perform geoprocessing tasks using QGIS. You will learn how to use toolboxes that are already included in QGIS. You will learn how to write your own toolboxes that you can use and share with other QGIS users, and you will learn how to use QGIS to map the results. The results can be saved as a QGIS project, or as one of many spatial data formats from QGIS.