An urban growth boundary model using neural networks, GIS and radial parameterization: An application to Tehran, Iran

Landscape and Urban Planning

Volumn 100, Issue 1-2, 2011, Pages 35-44

  Tayyebi, Amin ^a   Pijanowski, Bryan Christopher ^a   Tayyebi, Amir Hossein ^b  

^a PURDUE UNIVERSITY   (United States)

^b UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Artificial neural networks; Geospatial information systems; Urban growth boundary model; Urban planning

Indexed keywords

EXPANSION; GEOGRAPHIC INFORMATION SYSTEMS; INFORMATION SYSTEMS; INFORMATION USE; NEURAL NETWORKS; PLANNING; REMOTE SENSING; TRANSPORT PROPERTIES; URBAN PLANNING;

BOUNDARY GEOMETRY; CARDINAL DIRECTION; COMPLEX GEOMETRIES; GEO-SPATIAL INFORMATION SYSTEMS; PREDICTIVE VARIABLES; PREDICTOR VARIABLES; RURAL LANDSCAPES; URBAN GROWTH BOUNDARY;

URBAN GROWTH;

ARTIFICIAL NEURAL NETWORK; EOS; FUTURE PROSPECT; PARAMETERIZATION; REMOTE SENSING; URBAN GROWTH; URBAN PLANNING;

IRAN; TEHRAN [IRAN];

EID: 79751524150     PISSN: 01692046     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.landurbplan.2010.10.007     Document Type: Article

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