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Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases
book

Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases

by Joos Korstanje
July 2022
Beginner to intermediate
314 pages
6h 51m
English
Apress
Content preview from Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
J. KorstanjeMachine Learning on Geographical Data Using Pythonhttps://doi.org/10.1007/978-1-4842-8287-8_2

2. Coordinate Systems and Projections

Joos Korstanje1  
(1)
VIELS MAISONS, France
 

In the previous chapter, you have seen an introduction to coordinate systems. You saw an example of how you can use Cartesian coordinates as well as polar coordinates to identify points on a flat, two-dimensional Euclidean space. It was already mentioned at that point that the real-world scenario is much more complex.

When you are making maps, you are showing things (objects, images, etc.) that are located on earth. Earth does not respect the rules that were shown in the Euclidean ...

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ISBN: 9781484282878Purchase LinkPublisher Website