Abstract
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature
About this chapter
Cite this chapter
Korstanje, J. (2022). Coordinate Systems and Projections. In: Machine Learning on Geographical Data Using Python. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-8287-8_2
Download citation
DOI: https://doi.org/10.1007/978-1-4842-8287-8_2
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-8286-1
Online ISBN: 978-1-4842-8287-8
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)