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 GDAL and PostgreSQL to work with raster data.

First, you learned how to use the GDAL to load and query rasters. You also learned how to use GDAL to modify and save rasters. Then, you learned how to create your own raster data. You learned how to load raster data into PostgreSQL using the raster2pgsql tool. Once in PostgreSQL, you learned how to query for metadata, attributes, values, and geometry. You learned several common functions within PostgreSQL for raster data analysis. 

While this chapter only scratched the surface of working with raster data, you should have enough knowledge now to know how to learn new techniques and methods for working with rasters. In the next chapter, you will learn how to work with vector data in PostgreSQL.