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Generalized Linear Models outperform commonly used canonical analysis in estimating spatial structure of presence/absence data
BACKGROUND: Ecological communities tend to be spatially structured due to environmental gradients and/or spatially contagious processes such as growth, dispersion and species interactions. Data transformation followed by usage of algorithms such as Redundancy Analysis (RDA) is a fairly common approa...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474884/ https://www.ncbi.nlm.nih.gov/pubmed/32953266 http://dx.doi.org/10.7717/peerj.9777 |