Identifying dominant factors for the calibration of a land-use cellular automata model using Rough Set Theory

Computers, Environment and Urban Systems

Volumn 35, Issue 2, 2011, Pages 116-125

  Wang, Fang ^a   Hasbani, Jean Gabriel ^a   Wang, Xin ^a   Marceau, Danielle J ^a  

^a UNIVERSITY OF CALGARY   (Canada)

Author keywords

Calibration; Cellular automata; Driving factor selection; Land use change; Rough Set Theory

Indexed keywords

ALBERTA , CANADA; BUILT-UP AREAS; CA MODEL; CALGARY; CELLULAR AUTOMATA MODELS; COMPUTATION TIME; DATA MINING TECHNIQUES; DOMINANT FACTOR; DRIVING FACTOR SELECTION; EXTERNAL FACTORS; KAPPA COEFFICIENT; KAPPA STATISTIC; LAND-USE CHANGE; LANDSCAPE DYNAMICS; LOCATION INFORMATION; RIVER WATERSHEDS; ROUGH SET; TRANSITION RULE; URBAN GROWTH;

AUTOMATA THEORY; CALIBRATION; CELLULAR AUTOMATA; DATA MINING; FORESTRY; LAND USE; PATTERN RECOGNITION SYSTEMS;

ROUGH SET THEORY;

CALIBRATION; CELLULAR AUTOMATON; COMPUTER SIMULATION; DATA MINING; LAND USE CHANGE; LANDSCAPE CHANGE; MAPPING; URBAN GROWTH;

AGRICULTURE; DATA PROCESSING; KAPPA NUMBER; LAND USE; MAPS; MATHEMATICAL MODELS; PATTERN RECOGNITION; SIMULATION; WATER SHEDS;

ALBERTA; CANADA; ELBOW RIVER;

EID: 79952249331     PISSN: 01989715     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compenvurbsys.2010.10.003     Document Type: Article

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