Impacts of imperfect reference data on the apparent accuracy of species presence–absence models and their predictions

48 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

How to assess the prediction accuracy of species presence–absence models without absence data? (2013, methodology): “The value of a model depends on the accuracy of its outputs (Foody 2011).”
Prevalence, thresholds and the performance of presence–absence models (2014, background): “…explored using real or simulated data sets (e.g.McPherson, Jetz & Rogers 2004; Allouche, Tsoar & Kadmon 2006; Lobo, Jim enez-Valverde & Real 2008; Foody 2011), but there has been relatively little emphasis on developing a general theory that would reveal whichmetrics are best for a given…”
Guidelines for the application of IUCN Red List of Ecosystems categories and criteria (2015, background): “Classification errors that result in misclassification of pixels in a distribution map, generally termed omission or commission errors (Congalton & Green, 2008; Foody, 2011).”
An evaluation of the robustness of global amphibian range maps (2014, methodology): “…such as incomplete information on some species or in some areas, limited spatial resolution, and errors when digitizing the distribution ranges, which may influence the output of analyses based on these maps (Hurlbert & Jetz, 2007; Foody, 2011; Rocchini et al., 2011; Cant u-Salazar & Gaston, 2013).”