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Mastering Geospatial Analysis with Python
book

Mastering Geospatial Analysis with Python

by Silas Toms, Paul Crickard, Eric van Rees
April 2018
Beginner to intermediate content levelBeginner to intermediate
440 pages
11h 36m
English
Packt Publishing
Content preview from Mastering Geospatial Analysis with Python

OGR's main modules and classes

The OGR library consists of two main modules—ogr and osr. Both are sub-modules inside of the osgeo module. The ogr sub-module deals with vector geometry, while osr is all about projections. In the Reading and writing vector data with OGR section in Chapter 4Data Types, Storage, and Conversion, we already saw some examples of how to make use of both.

OGR offers the following seven classes:

  • Geometry
  • Spatial Reference
  • Feature
  • Feature Class Definition
  • Layer
  • Dataset
  • Drivers

The class names are mostly self-explanatory, but it's good to have an overview of how OGR is structured. In the following examples, we'll see how to access and make use of these classes. OGR's modules, classes, and functions are documented ...

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Publisher Resources

ISBN: 9781788293334Supplemental Content