November 2023
Beginner to intermediate
432 pages
10h 27m
English
Content preview from Learning Geospatial Analysis with Python - Fourth Edition
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8
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. It can display properties of both vector and raster data, resulting in unique data products. Elevation data can be used for terrain visualization, land cover classification, hydrology modeling, transportation routing, feature extraction, and many other purposes.
You can’t perform all of these options with both raster and vector data, but since elevation data is three-dimensional, due to it containing x, y, and z coordinates, you can often get more out of this data than any other type.
We will cover the following topics in this chapter:
- Accessing ASCII Grid files
- Creating a shaded ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.