Fuzzy definition of Rural Urban Interface: An application based on land use change scenarios in Portugal. (June 2018)

• Record Type: Journal Article
• Authors: Amato, Federico; Tonini, Marj; Murgante, Beniamino; Kanevski, Mikhail
• Is Part Of: Environmental modelling & software. Volume 104(2018)
• Page Start: 171
• Page End: 187
• Publication Date: 2018-06
• Subjects: Rural-urban interface -- Land use-land cover changes -- Multilayer perceptron -- Fuzzy set theory -- Uncertainty assessment; 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.2018.03.016
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: Land cover dynamics influence the spatio-temporal evolution of the Rural-Urban Interface (RUI). This represents the most prone area for human-caused forest fires ignitions in Mediterranean countries. Traditionally, RUI mapping is based on the measurement of the distances among specific land covers. This methodology suffers from the definition of pre-established fixed parameters. To avoid this arbitrariness, a new procedure based on Multilayer Perceptron and Fuzzy Set Theory is introduced in this paper. This allows to develop continuous non-categorical maps expressing the possibility of being part of this interface. Thus, an innovative way for assessing the uncertainty in identifying RUI is presented. The proposed methodology has been applied to the case study of Portugal, elaborating a future scenario for the RUI. The results show how the framework proposed in this paper is able to correctly identify the areas belonging to this interface, providing useful information for forest fires -prevention policies. Highlights: Spatio-temporal scenarios are developed to analyse the evolution of Rural-Urban Interface in Portugal. Multilayer Perceptron and Fuzzy Set Theory are combined to introduce uncertainty in the definition of the RUI. Fuzzy Overlay functions correctly identified the presence of RUI, showing an high value of AUC. The proposed framework gives richer information for forest fires prevention policies.