A logistic regression of principal components, in combination with spatial autocorrelation analysis, was developed to simulate and predict the distribution of species. The model was tested by the matching coefficient (m 1 + m 2 ) n , which was obtained by comparing the observed and the predicted presence/absence data of species. The results from the case study for red-crown crane ( Grus japonensis ) in Yancheng Biosphere Reserve, Eastern China, showed that the matching coefficient of the model was as high as 91.13%.
Ecological Modelling – Elsevier
Published: Nov 17, 1997
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