Transition index maps for urban growth simulation: Application of artificial neural networks, weight of evidence and fuzzy multi-criteria evaluation
Files
Publication date
2017
Editors
Advisors
Supervisors
Document Type
Article
Metadata
Show full item recordCollections
License
taverne
Abstract
Keywords
Land cover change, Artificial neural networks, Weight of evidence, Fuzzy analytical hierarchical process, Relative operating characteristics, Taverne
Citation
Shafeezadeh Moghaddam, H, Tayyebi, A & Helbich, M 2017, 'Transition index maps for urban growth simulation: Application of artificial neural networks, weight of evidence and fuzzy multi-criteria evaluation', Environmental Modeling and Assessment, vol. 189, pp. 189-300. https://doi.org/10.1007/s10661-017-5986-3