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_4

4. Creating Maps

Joos Korstanje¹  

(1)

VIELS MAISONS, France

 

Mapmaking is one of the earliest and most obvious use cases of the field of geodata. Maps are a special form of data visualization: they have a lot of standards and are therefore easily recognizable and interpretable for almost anyone.

Just like other data visualization methods, maps are a powerful tool to share a message about a dataset. Visualization tools are often wrongly interpreted as an objective depiction of the truth, whereas in reality, map makers and visualization builders have a huge ...