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https://github.com/blasbenito/spatialrf_talk

Talk about incorporating spatial autocorrelation into random forest models

https://github.com/blasbenito/spatialrf_talk

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Talk about incorporating spatial autocorrelation into random forest models

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Created almost 5 years ago · Last pushed almost 5 years ago

https://github.com/BlasBenito/spatialRF_talk/blob/main/ 

# Autocorrelation in spatial regression with Machine Learning methods (with a focus on Random Forest)

Short talk for the workshop [**Hands on Machine Learning in Ecology**](http://ceaul.org/workshop-hands-on-machine-learning-in-ecology/) organized by [Marta M. Rufino](https://scholar.google.com/citations?user=ZMe-JxwAAAAJ&hl=es) (MARE, Faculty of Sciences, University of Lisbon) and [Tiago A. Marques](https://scholar.google.com/citations?user=SHqH7fMAAAAJ&hl=es) (University of St. Andrews). 

In this talk I focus on the nature and meaning of spatial autocorrelation, and describe how it can be incorporated into spatial regression models fitted with random forest models with the R package [spatialRF](https://blasbenito.github.io/spatialRF/).

[Link to slideshow](https://blasbenito.github.io/spatialRF_talk/talk.html#1)

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  • Name: Blas Benito
  • Login: BlasBenito
  • Kind: user
  • Location: Somewhere in the beach

PhD in Quantitative Ecology, Master in Geographic Information Systems, R developer, data scientist and data engineer at @BiomeMakers.

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