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      Positional errors in species distribution modelling are not overcome by the coarser grains of analysis

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          Maximum entropy modeling of species geographic distributions

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            Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS)

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              R: a language and environment for statisticalcomputing

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                Author and article information

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                Journal
                Methods in Ecology and Evolution
                Methods Ecol Evol
                Wiley
                2041-210X
                2041-210X
                October 2022
                August 20 2022
                October 2022
                : 13
                : 10
                : 2289-2302
                Affiliations
                [1 ]Department of Spatial Sciences, Faculty of Environmental Sciences Czech University of Life Sciences Prague Praha – Suchdol Czech Republic
                [2 ]Department of Ecology and Evolutionary Biology Yale University New Haven Connecticut USA
                [3 ]Center for Biodiversity and Global Change Yale University New Haven Connecticut USA
                [4 ]BIOME Lab, Department of Biological, Geological and Environmental Sciences Alma Mater Studiorum University of Bologna Bologna Italy
                [5 ]Institute of Geography Technische Universität Dresden Dresden Germany
                [6 ]Universidad de Oviedo Oviedo Asturias Spain
                [7 ]Department of Biogeography and Global Change Museo Nacional de Ciencias Naturales (MNCN‐CSIC) Madrid Spain
                Article
                10.1111/2041-210X.13956
                71507610-7fa6-437a-8eb2-ac1addd4d39a
                © 2022

                http://creativecommons.org/licenses/by/4.0/

                http://doi.wiley.com/10.1002/tdm_license_1.1

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