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 approac...
I tiakina i:
| Ngā kaituhi matua: | , , , , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
PeerJ Inc.
2020-09-01
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| Rangatū: | PeerJ |
| Ngā marau: | |
| Urunga tuihono: | https://peerj.com/articles/9777.pdf |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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