Robert P. Anderson
Robert P. Anderson
Professor of Biology, City College of the City University of New York
Verified email at - Homepage
Cited by
Cited by
Maximum entropy modeling of species geographic distributions
SJ Phillips, RP Anderson, RE Schapire
Ecological modelling 190 (3-4), 231-259, 2006
Novel methods improve prediction of species’ distributions from occurrence data
J Elith, CH Graham, R P Anderson, M Dudík, S Ferrier, A Guisan, ...
Ecography 29 (2), 129-151, 2006
Ecological niches and geographic distributions (MPB-49)
AT Peterson, J Soberón, RG Pearson, RP Anderson, E Martínez-Meyer, ...
Ecological Niches and Geographic Distributions (MPB-49), 2011
Opening the black box: An open‐source release of Maxent
SJ Phillips, RP Anderson, M Dudík, RE Schapire, ME Blair
Ecography 40 (7), 887-893, 2017
Evaluating predictive models of species’ distributions: criteria for selecting optimal models
RP Anderson, D Lew, AT Peterson
Ecological modelling 162 (3), 211-232, 2003
ENMeval: An R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models
R Muscarella, PJ Galante, M Soley‐Guardia, RA Boria, JM Kass, ...
Methods in ecology and evolution 5 (11), 1198-1205, 2014
Making better Maxent models of species distributions: complexity, overfitting and evaluation
A Radosavljevic, RP Anderson
Journal of Biogeography 41, 629-643, 2014
spThin: an R package for spatial thinning of species occurrence records for use in ecological niche models
ME Aiello-Lammens, RA Boria, A Radosavljevic, B Vilela, RP Anderson
Ecography 38, 541–545, 2015
Spatial filtering to reduce sampling bias can improve the performance of ecological niche models
RA Boria, LE Olson, SM Goodman, RP Anderson
Ecological modelling 275, 73-77, 2014
Standards for models in biodiversity assessments
MB Araújo, RP Anderson, AM Barbosa, CM Beale, CF Dormann, R Early, ...
Science Advances 5, eaat4858, 2019
The effect of the extent of the study region on GIS models of species geographic distributions and estimates of niche evolution: preliminary tests with montane rodents (genus …
RP Anderson, A Raza
Journal of biogeography 37 (7), 1378-1393, 2010
Species-specific tuning increases robustness to sampling bias in models of species distributions: An implementation with Maxent
RP Anderson, I Gonzalez
Ecological Modelling 222 (15), 2796-2811, 2011
Estimating optimal complexity for ecological niche models: a jackknife approach for species with small sample sizes
M Shcheglovitova, RP Anderson
Ecological Modelling 269, 9-17, 2013
Using niche‐based GIS modeling to test geographic predictions of competitive exclusion and competitive release in South American pocket mice
RP Anderson, AT Peterson, M Gómez‐Laverde
Oikos 98 (1), 3-16, 2002
Geographical distributions of spiny pocket mice in South America: insights from predictive models
RP Anderson, M Gómez‐Laverde, AT Peterson
Global Ecology and Biogeography 11 (2), 131-141, 2002
Modeling species’ geographic distributions for preliminary conservation assessments: an implementation with the spiny pocket mice (Heteromys) of Ecuador
RP Anderson, E Martınez-Meyer
Biological conservation 116 (2), 167-179, 2004
Environmental filters reduce the effects of sampling bias and improve predictions of ecological niche models
S Varela, RP Anderson, R García‐Valdés, F Fernández‐González
Ecography 37 (11), 1084-1091, 2014
ENMeval 2.0: Redesigned for customizable and reproducible modeling of species’ niches and distributions
JM Kass, R Muscarella, PJ Galante, CL Bohl, GE Pinilla-Buitrago, ...
Methods in Ecology and Evolution 12 (9), 1602-1608, 2021
A framework for using niche models to estimate impacts of climate change on species distributions
RP Anderson
Annals of the New York Academy of Sciences 1297 (1), 8-28, 2013
Wallace: a flexible platform for reproducible modeling of species niches and distributions built for community expansion
JM Kass, B Vilela, MA Aiello-Lammens, R Muscarella, C Merow, ...
Methods in Ecology and Evolution 9, 1151-1156, 2018
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