© 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_9

9. Interpolation

Joos Korstanje1  
(1)
VIELS MAISONS, France
 

After having covered the fundamentals of spatial data in the first four chapters of this book, and a number of basic GIS operations in the past four chapters, it is now time to move on to the last four chapters in which you will see a number of statistics and machine learning techniques being applied to spatial data.

This chapter will cover interpolation, which is a good entry into machine learning. The chapter will start by covering definitions and intuitive explanations of interpolation and then ...

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