Not seeing the forest for the trees: Generalised linear model out-performs random forest in species distribution modelling for Southeast Asian felids

Not seeing the forest for the trees: Generalised linear model out-performs random forest in species distribution modelling for Southeast Asian felids

Species Distribution Models (SDMs) are a powerful tool to derive habitat suitability predictions relating species occurrence data with habitat features. Two of the most frequently applied algorithms to model species-habitat relationships are Generalised Linear Models (GLM) and Random Forest (RF). Th...

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Bibliographic Details
Main Authors: Chiaverini, L, Macdonald, DW, Hearn, AJ, Kaszta, Ż, Ash, E, Bothwell, HM, Can, ÖE, Channa, P, Clements, GR, Haidir, IA, Kyaw, PP, Moore, JH, Rasphone, A, Tan, CKW, Cushman, SA
Format: Journal article
Language:English
Published: Elsevier 2023

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