Cargando…
Mapping Species Distributions with MAXENT Using a Geographically Biased Sample of Presence Data: A Performance Assessment of Methods for Correcting Sampling Bias
MAXENT is now a common species distribution modeling (SDM) tool used by conservation practitioners for predicting the distribution of a species from a set of records and environmental predictors. However, datasets of species occurrence used to train the model are often biased in the geographical spa...
Autores principales: | Fourcade, Yoan, Engler, Jan O., Rödder, Dennis, Secondi, Jean |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4018261/ https://www.ncbi.nlm.nih.gov/pubmed/24818607 http://dx.doi.org/10.1371/journal.pone.0097122 |
Ejemplares similares
-
Correction: The Effects of Sampling Bias and Model Complexity on the Predictive Performance of MaxEnt Species Distribution Models
por: Syfert, Mindy M., et al.
Publicado: (2013) -
The Effects of Sampling Bias and Model Complexity on the Predictive Performance of MaxEnt Species Distribution Models
por: Syfert, Mindy M., et al.
Publicado: (2013) -
Nondetection sampling bias in marked presence-only data
por: Hefley, Trevor J, et al.
Publicado: (2013) -
Correction: Approach-Induced Biases in Human Information Sampling
por: Hunt, Laurence T., et al.
Publicado: (2017) -
A simple correction for COVID-19 sampling bias
por: Díaz–Pachón, Daniel Andrés, et al.
Publicado: (2020)