[D] Preserving spatial distribution of data during data splitting

Hello, I am trying to model nitrate concentrations in the streams in Bavaria in Germany using Random Forest model. I am using Python and primarily sklearn for the same. I have data from 490 water quality stations. I am following the methodology in the paper from LongzhuQ.Shen et al which can be found here: [https://www.nature.com/articles/s41597-020-0478-7](https://www.nature.com/articles/s41597-020-0478-7)

I want to split my dataset into training and testing set such that the spatial distribution of data in both sets is identical. The idea …

data dataset distribution machinelearning risk set spatial split testing training