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Determining optimal neighborhood size for ecological studies using leave-one-out cross validation

We employed a leave-one-out cross validation to determine optimally sized neighborhood. Variations between a single point and the other points within each filter size for all the points in the study area were evaluated, and the mean squared error (MSE) for each filter was calculated. The filter with...

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Detalles Bibliográficos
Autores principales: Kim, Deok Ryun, Ali, Mohammad, Sur, Dipika, Khatib, Ahmed, Wierzba, Thomas F
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3361501/
https://www.ncbi.nlm.nih.gov/pubmed/22471893
http://dx.doi.org/10.1186/1476-072X-11-10
Descripción
Sumario:We employed a leave-one-out cross validation to determine optimally sized neighborhood. Variations between a single point and the other points within each filter size for all the points in the study area were evaluated, and the mean squared error (MSE) for each filter was calculated. The filter with the lowest MSE was considered as the optimal neighborhood. The method is useful in determining the optimal neighborhood for both geographic and population filters.