Should the Mantel test be used in spatial analysis?
By Pierre Legendre, Marie-Josée Fortin, D. Borcard. 2015
351 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Global and Planetary Change, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/9311b4a4bb57507cef2c7fb34b68a8c8a87f805d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In Global and Planetary Change
- Antoine Guisan
- Niko Balkenhol
- David M. Cairns
- O. Broennimann
- T. Datry
- Stéphane Dray
- K. Selkoe
- Pierre Legendre
In Nature and Landscape Conservation
- O. Broennimann
- Antoine Guisan
- Heidi K. Mod
- T. Datry
- J. Crabot
- Sylvie Clappe
- H. Niculita‐Hirzel
- Enrique Lara
Citations in the corpus
- Testing the Mantel statistic with a spatially‐constrained permutation procedure (2019, background): “The null hypothesis H0 associated with this testing procedure states that “the distances in DX are not linearly related to the corresponding distances in DY” (Legendre et al., 2015).”
- Comparative analysis of diversity and environmental niches of soil bacterial, archaeal, fungal and protist communities reveal niche divergences along environmental gradients in the Alps (2021, background): “However, the low spatial correlation observed may reflect the limitations of using spatial data with Mantel tests (Legendre et al., 2015) rather than a genuine lack of spatial relationship.”
- Landscape Genomics: Understanding Relationships Between Environmental Heterogeneity and Genomic Characteristics of Populations (2017, methodology): “Mantel tests have been severely criticized for various reasons, and alternative approaches should be used whenever possible (Balkenhol et al. 2009; Legendre and Fortin 2010; Guillot and Rousset 2013; Legendre et al. 2015).”