O'Reilly logo

Python Geospatial Analysis Essentials by Erik Westra

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Chapter 2. Geospatial Data

In this chapter, we will focus on the data used for geospatial analysis. You will learn more about the nature of geospatial data, and discover some of the major websites you can use to obtain geospatial datasets for free. We will then look at the ways in which you can read and write geospatial data using Python.

In particular, this chapter will cover the following topics:

  • Why having high quality geospatial data is important
  • The various types of geospatial data you are likely to encounter
  • Major sources of freely-available geospatial datasets
  • How to read and write geospatial data using the GDAL/OGR library
  • How to work with Spatial Reference Systems
  • Geospatial data errors and how to fix them

Let's start by looking at why having ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required