An ArcGIS Tool for Modeling the Climate Envelope with Feed-Forward ANN

Bede-Fazekas, Ákos, Horváth, Levente, Trájer, Attila János and Gregorics, Tibor (2015) An ArcGIS Tool for Modeling the Climate Envelope with Feed-Forward ANN. Applied Artifical Intelligence, 29 (3). pp. 233-242. DOI 10.1080/08839514.2015.1004612

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This paper is about the development and the application of an ESRI ArcGIS tool which implements multi-layer, feed-forward artificial neural network (ANN) to study the climate envelope of species. The supervised learning is achieved by backpropagation algorithm. Based on the distribution and the grids of the climate (and edaphic data) of the reference and future periods the tool predicts the future potential distribution of the studied species. The trained network can be saved and loaded. A modeling result based on the distribution of European larch (Larix decidua Mill.) is presented as a case study.

Item Type:Article
Divisions:Faculty of Landscape Architecture > Department of Garden and Open Space Design
Faculty of Horticultural Science > Department of Biometrics and Agrarinformatics
Projects:TÁMOP- 4.2.1/B-09/1/KMR-2010-0005, TÁMOP 4.2.2.A-1/1/KONV-2012-0064, ENSEMBLES (505539)
ID Code:1887
Deposited By: MTMT SWORD
Deposited On:10 Apr 2015 06:55
Last Modified:01 Apr 2016 05:15

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