October 2013
Beginner to intermediate
364 pages
8h 8m
English
Content preview from Learning Geospatial Analysis with PythonBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 8. Advanced Geospatial Python Modelling
In this chapter, we'll build on the data processing concepts we've learned up to this point to create some full-scale information products. We will introduce some important geospatial algorithms commonly used in agriculture, emergency management, logistics, and other industries.
The products we will create are:
- A crop health map
- A flood inundation model
- A terrain routing map
While these products are task specific, the algorithms used to create them are widely applied in geospatial analysis. The examples in this chapter are longer and more involved than in the previous chapters. For that reason, there are far more code comments to make the programs easier to follow. We will also use more functions in these ...
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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.