GDSL-UL / san

Spatial Modelling for Data Scientists
https://gdsl-ul.github.io/san/
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book cross-validation data-science geographically-weighted-regression maps moran-i multilevel-models r r-spatial spatial-analysis spatial-econometrics

SAN - Spatial Analysis Notes

quarto render

Citation

If you use the material, code or processed data, you can give appropriate attribution by using the following citation:

@book{rowearribas-bel_smds21,
  author = {Rowe, Francisco and Arribas-Bel, Dani},
  title = {Spatial Modelling for Data Scientists},
  year = 2022,
  url = {gdsl-ul.github.io/san/},
  doi = {10.17605/OSF.IO/8F6XR},
}

The theme for the website was adapted from David Keyes' repository for his book R without Statistics