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 7. Geoprocessing with Geodatabases

In Chapter 3, Introduction to Geospatial Databases, you learned how to install PostGIS, create a table, add data, and perform basic spatial queries. In this chapter, you will learn how to work with geospatial databases to answer questions and make maps. This chapter will have you load crime data into tables. Once you have populated your geodatabase with real-world data, you will learn how to perform common crime analysis tasks. You will learn how to map queries, query by date ranges, and perform basic geoprocessing tasks such as buffers, point in polygon, and nearest neighbor. You will learn how to add widgets to your Jupyter Notebooks to allow queries to be interactive. Lastly, you will learn how to use Python to create charts from your geospatial queries. As a crime analyst, you will make maps, but not all GIS-related tasks are map-based. Analysts use GIS data to answer questions and create reports. Executives are often more familiar with charts...