rasterdiv ‐ an Information Theory tailored R package for measuring ecosystem heterogeneity from space: to the origin and back
Duccio Rocchini, Elisa Thouverai, Marcantonio Matteo, Martina Iannacito, Da Re Daniele, Michele Torresani, Bacaro Giovanni, Bazzichetto Manuele, Bernardi Alessandra, Foody Giles M., Furrer Reinhard, David Kleijn, Larsen Stefano, Jonathan Lenoir, Marco Malavasi, Elisa Marchetto, Filippo Messori, Montaghi Alessano, Vítězslav Moudrý, Naimi Babak · Zenodo (CERN European Organization for Nuclear Research) · 2020
Ecosystem heterogeneity has been widely recognized as a key ecological feature, influencing several ecological functions, since it is strictly related to several ecological functions like 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.