Fuzzy set theory has generally been applied to smooth classification cut-offs, with an unavoidable loss of information. In this commentary, I rely on both advantages and disadvantages of the methods proposed in Duff et al., in this issue of the Journal of Vegetation Science, to map the variability over space of vegetation classes based on fuzzy sets and species distribution models
Rocchini, D. (2014). Fuzzy species distribution models: a way to represent plant communities spatially. JOURNAL OF VEGETATION SCIENCE JOURNAL OF VEGETATION SCIENCE, 25 (2): 317-318. doi: 10.1111/jvs.12152 handle: http://hdl.handle.net/10449/24210
Fuzzy species distribution models: a way to represent plant communities spatially
Rocchini, Duccio
2014-01-01
Abstract
Fuzzy set theory has generally been applied to smooth classification cut-offs, with an unavoidable loss of information. In this commentary, I rely on both advantages and disadvantages of the methods proposed in Duff et al., in this issue of the Journal of Vegetation Science, to map the variability over space of vegetation classes based on fuzzy sets and species distribution modelsFile | Dimensione | Formato | |
---|---|---|---|
2014 JVS.pdf
non disponibili
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
188 kB
Formato
Adobe PDF
|
188 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.