articleTop 1% cited
Spatial filtering to reduce sampling bias can improve the performance of ecological niche models
Ecological Modelling · 2014 · Vol. 275 · pp. 73–77
Robert A. Boria✉(City College of New York)Link E. Olson(University of Alaska Fairbanks)Steven M. Goodman(Field Museum of Natural History)Robert P. Anderson(City University of New York)
Species Distribution and Climate ChangeWildlife Ecology and ConservationGenetic diversity and population structureOverfittingSampling (signal processing)Computer scienceNicheEcologyCalibrationStatisticsSpatial ecologyEnvironmental scienceMachine learning
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References
Species-specific tuning increases robustness to sampling bias in models of species distributions: An implementation with Maxent
Ecological Modelling · 2011 · 574 citations
The crucial role of the accessible area in ecological niche modeling and species distribution modeling
Ecological Modelling · 2011 · 1,788 citations
Estimating optimal complexity for ecological niche models: A jackknife approach for species with small sample sizes
Ecological Modelling · 2013 · 603 citations
Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria
Ecological Applications · 2010 · 2,233 citations
Sample selection bias and presence‐only distribution models: implications for background and pseudo‐absence data
Ecological Applications · 2009 · 2,876 citations
Maximum entropy modeling of species geographic distributions
Ecological Modelling · 2005 · 17,289 citations
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