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_6

6. Buffers

Joos Korstanje¹  

(1)

VIELS MAISONS, France

 

In the previous chapter, we have started looking at a number of common geospatial operations: data operations that are not possible, or at least not common, on regular data, but that are very common on geospatial data.

The standard operations that will be covered are

• Clipping and intersecting

• Buffering

• Merge and dissolve

• Erase

In the previous chapter, you have already seen two major operations. You have first seen how to clip data to a specific extent, mainly for the use of dropping data based on a spatial ...