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

The REST API application

To enable access to a database of NBA Arenas, US States, US Counties, and US Congressional Districts, we will build a REST API. The API will allow for queries about tables and about specific table resources, that is, rows of data. It will also allow for geospatial queries.

Application components

The components of this application include:

  • The database, created in Chapter 11Flask and GeoAlchemy2, which contains the tables for NBA Arenas, US States, US Counties, and US Congressional Districts
  • file, which initiates the application when called by a Python executable
  • Theapplication folder, which contains the application code and folders
  • file, which makes the application folder into a module, defines the Flask object and connects to the database
  • file, which defines the API endpoints, the view functions, and the return responses
  • file, which defines the database table models as Python classes that subclass from SQLAlchemy
  • The forms...