Spatial confounding in Bayesian species distribution modeling-Reference-Cited by-同舟云学术

Spatial confounding in Bayesian species distribution modeling

Published:2022-08-30 Issue:11 Volume:2022 Page:
ISSN:0906-7590
Container-title:Ecography
language:en
Short-container-title:Ecography

Author:

Mäkinen Jussi¹²^ORCID,Numminen Elina³,Niittynen Pekka⁴^ORCID,Luoto Miska⁴,Vanhatalo Jarno¹³^ORCID

Affiliation:

1. Research Centre for Ecological Change, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, Univ. of Helsinki Helsinki Finland

2. Dept of Ecology and Evolutionary Biology, Yale Univ. New Haven CT USA

3. Dept of Mathematics and Statistics, Faculty of Science, Univ. of Helsinki Helsinki Finland

4. Dept of Geosciences and Geography, Faculty of Science, Univ. of Helsinki Helsinki Finland

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ecog.06183

Reference60 articles.

1. Standards for distribution models in biodiversity assessments

2. Species distribution models and ecological theory: A critical assessment and some possible new approaches

3. Comment on “Methods to account for spatial autocorrelation in the analysis of species distributional data: a review”

4. Coefficient shifts in geographical ecology: an empirical evaluation of spatial and non-spatial regression

5. Why environmental scientists are becoming Bayesians

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spatial confounding in joint species distribution models;Methods in Ecology and Evolution;2024-09-06

2. Guiding conservation strategies for China’s Corybas species through species distribution modeling;Global Ecology and Conservation;2024-09

3. spAbundance: An R package for single‐species and multi‐species spatially explicit abundance models;Methods in Ecology and Evolution;2024-05-10

4. A shiny R app for spatial analysis of species distribution models;Ecological Informatics;2024-05

5. Guidelines for the use of spatially varying coefficients in species distribution models;Global Ecology and Biogeography;2024-02-21