Several methods has been proposed to modeling species distributions, also a few models consider explicitly spatial autocorrelation or spatial neighborhood. We compare a model based on autologistic model with covariates with standard methods frequently used in species distribution models. Accuracy assessment is important in species distribution models. The value of a model depends on the accuracy of its outputs. We evaluated the accuracy in terms of ROC analysis and the F-measure proposed by Li and Gou 2013 for virtual species and for real species data.

(2014). Spatial autocorrelation in species distribution models: autologistic model with covariates vs. BioMod [conference presentation - intervento a convegno]. Retrieved from http://hdl.handle.net/10446/31700

Spatial autocorrelation in species distribution models: autologistic model with covariates vs. BioMod

2014-01-01

Abstract

Several methods has been proposed to modeling species distributions, also a few models consider explicitly spatial autocorrelation or spatial neighborhood. We compare a model based on autologistic model with covariates with standard methods frequently used in species distribution models. Accuracy assessment is important in species distribution models. The value of a model depends on the accuracy of its outputs. We evaluated the accuracy in terms of ROC analysis and the F-measure proposed by Li and Gou 2013 for virtual species and for real species data.
2014
MEJIA DOMINGUEZ, N. R.; DIAZ AVALOS, C.; OCHOA OCHOA, L. M.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/31700
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