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SDM modeling with R: Boosted regression tree approach and spatial cross-validation with R

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 Erazo, Diana Serres, Kyla

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SDM modeling with R: Boosted regression tree approach and spatial cross-validation with R
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15
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Production Year2023
Production PlaceWageningen

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Abstract
Diana is an environmental engineer interested in the effects of environmental change in infectious disease dynamics. During the 2023 MOOD Summer School, she hosted a session on SDM. Students were introduced to a method for species distribution modeling called boosted regression tree (BRT) approach. A tutorial was provided and the BRT method was explained using data on West Nile virus cases in Europe obtained from the Padi-web platform, which Kyla Serres explained in brief. The tutorial allowed us to load and explore the disease and associated environmental data.
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