Small to train, small to test: Dealing with low sample size in model evaluation
2023
Collart, Flavien | Guisan, Antoine
Английский. peer reviewed
Показать больше [+] Меньше [-]Английский. Sample size is a key issue in species distribution modelling. While many studies focused on the relevance of sample size for model calibration, the importance of the size of the dataset used for model evaluation has received much less attention. Here, we highlight two previously published approaches to address the problem, and which are relatively simple to implement: the pooling evaluation and the implementation of null models. We discuss the importance of these or other potential approaches that are critical for model evaluation in rare species, which represent the bulk of biodiversity, and for which accurate models are most necessary in a conservation context.
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Библиографическая информация
Эту запись предоставил University of Liège