Correcting the effect of sampling bias in species distribution modeling – A new method in the case of a low number of presence data
Abstract: Species distribution models that only require presence data provide potentially inaccurate results due to sampling bias and presence data scarcity. Methods have been proposed in the literature to minimize the effects of sampling bias, but without explicitly considering the issue of sample size.