Chapter 7. Python and Elevation Data

Elevation data is one of the most fascinating types of geospatial data. It represents many different types of data sources and formats. Elevation data can display properties of both vector and raster data resulting in unique data products. Elevation data can serve the following purposes:

  • Terrain visualization
  • Land cover classification
  • Hydrology modelling
  • Transportation routing
  • Feature Extraction

You can't perform all of these options with both raster and vector data but because elevation data is three dimensional, containing x, y, and z coordinates, you can often get more out of these data than any other type.

In this chapter, we're going to learn to read and write elevation data in both raster and vector point formats. ...

Get Learning Geospatial Analysis with Python now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.