rasterdiv-An Information Theory tailored R package for measuring ecosystem heterogeneity from space: To the origin and back - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles Methods in Ecology and Evolution Year : 2021

rasterdiv-An Information Theory tailored R package for measuring ecosystem heterogeneity from space: To the origin and back

Matteo Marcantonio
Alessandra Bernardi
  • Function : Author
  • PersonId : 914887
Stefano Larsen

Abstract

Ecosystem heterogeneity has been widely recognized as a key ecological indicator of several ecological functions, diversity patterns and change, metapopulation dynamics, population connectivity or gene flow. In this paper, we present a new R package-rasterdiv-to calculate heterogeneity indices based on remotely sensed data. We also provide an ecological application at the landscape scale and demonstrate its power in revealing potentially hidden heterogeneity patterns. The rasterdiv package allows calculating multiple indices, robustly rooted in Information Theory, and based on reproducible open-source algorithms.
Fichier principal
Vignette du fichier
Rochini-2021-rasterdiv An Information Theory tailored R package.pdf (2.22 Mo) Télécharger le fichier
Rochini_mee313583-sup-0001-appendix1.pdf (128.85 Ko) Télécharger le fichier
Origin : Publication funded by an institution

Dates and versions

hal-03244722 , version 1 (26-10-2021)

Licence

Attribution

Identifiers

Cite

Duccio Rocchini, Elisa Thouverai, Matteo Marcantonio, Martina Iannacito, Daniele da Re, et al.. rasterdiv-An Information Theory tailored R package for measuring ecosystem heterogeneity from space: To the origin and back. Methods in Ecology and Evolution, 2021, 12 (6), pp.1093-1102. ⟨10.1111/2041-210X.13583⟩. ⟨hal-03244722⟩
130 View
77 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More