Book Image

Learning Geospatial Analysis with Python - Third Edition

By : Joel Lawhead
Book Image

Learning Geospatial Analysis with Python - Third Edition

By: Joel Lawhead

Overview of this book

Geospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. With this systematic guide, you'll get started with geographic information system (GIS) and remote sensing analysis using the latest features in Python. This book will take you through GIS techniques, geodatabases, geospatial raster data, and much more using the latest built-in tools and libraries in Python 3.7. You'll learn everything you need to know about using software packages or APIs and generic algorithms that can be used for different situations. Furthermore, you'll learn how to apply simple Python GIS geospatial processes to a variety of problems, and work with remote sensing data. By the end of the book, you'll be able to build a generic corporate system, which can be implemented in any organization to manage customer support requests and field support personnel.
Table of Contents (15 chapters)
Free Chapter
1
Section 1: The History and the Present of the Industry
5
Section 2: Geospatial Analysis Concepts
10
Section 3: Practical Geospatial Processing Techniques

Installing GDAL

The Geospatial Data Abstraction Library (GDAL), which includes OGR, is critical to many of the examples in this book and is also one of the more complicated Python setups. For these reasons, we'll discuss it separately here. The latest GDAL bindings are available on PyPI; however, the installation requires a few more steps because of additional resources that are needed by the GDAL library.

There are three ways to install GDAL for use with Python. You can use any one of them:

  • Compile it from the source code.
  • Install it as part of a larger software package.
  • Install a binary distribution and then the Python bindings.

If you have experience with compiling C libraries as well as the required compiler software, then the first option gives you the most control. However, it is not recommended if you just want to get going as quickly as possible, because even experienced...