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

OGR Simple Features Library

OGR Simple Features Library (part of the Geospatial Data Abstraction Library (GDAL)) offers a set of tools for dealing with vector data. Although both GDAL and OGR are now more integrated than they used to be, we can still divide GDAL between a vector part (OGR) and a raster part (GDAL). While OGR was written in C++ and the documentation is also in C++, with Python bindings we can access all of GDAL's functionality using Python.

We can distinguish the following components of OGR:

  • OGR batch commands for describing and processing vector data
  • ogrmerge, an instant Python script for merging multiple vector data files
  • The OGR library itself

We'll briefly cover these components first, before moving on to some examples of how to use all three.

OGR batch commands

OGR offers a series of batch commands that can be used to describe and convert existing geospatial vector data. We've already mentioned two of them, ogrinfo and ogr2ogr, in Chapter 4, Data Types, Storage, and Conversion...