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_13

13. Conclusion

Joos Korstanje¹  

(1)

VIELS MAISONS, France

 

Throughout the 12 chapters of this book, you have been thoroughly introduced to three main themes. The book started with an introduction to spatial data in general, spatial data tools, and specific knowledge needed to work efficiently with spatial data.

After that, a number of common tools from Geographic Information Systems (GIS) and the general domain of spatial analysis were presented. The final chapters of this book were dedicated to machine learning on spatial data. The focus there was on those ...