Spatial entropy for biodiversity and environmental data: The R-package SpatEntropy. (October 2021)

• Record Type: Journal Article
• Authors: Altieri, Linda; Cocchi, Daniela; Roli, Giulia
• Is Part Of: Environmental modelling & software. Volume 144(2021)
• Publication Date: 2021-10
• Subjects: Spatial entropy -- Shannon's entropy -- Biodiversity -- Tree species -- Urban expansion -- R package; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2021.105149
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: Entropy measures are standard tools in environmental and ecological sciences to describe the heterogeneity of data. This paper reviews a selection of spatial entropy indices, some of which are very recent, suitable to deal with spatial data on variables presenting a finite number of categories. A special focus is given on biodiversity data, but methods can be applied to any other environmental phenomena. The new R package SpatEntropy is here introduced to compute spatial entropy measures in practice. The extension from traditional entropy measures to their spatial version is a unique feature of the package, which is able to work with both areal and point data. A practical part is also presented, where two types of environmental data are considered, regarding trees biodiversity and urban expansion, respectively. The package SpatEntropy is run over these dataset and shown to represent a user-friendly and helpful tool for new package users. Highlights: Environmental studies need spatial entropy measure and suitable software. The R package SpatEntropy easily computes entropy and spatial entropy indices. The spatial entropy literature is interpreted in the context of environmental data. A step-by-step example shows the software main functions over biodiversity data. A second application regards the detection of compactness in urban development.