Simulating multiple class urban land-use/cover changes by RBFN-based CA model

Computers and Geosciences

Volumn 37, Issue 2, 2011, Pages 111-121

  Wang, Yang ^a   Li, Shuangcheng ^a  

^a PEKING UNIVERSITY   (China)

Author keywords

Cellular Automata; China; GIS Spatial Analysis Shenzhen City; Radial Basis Function Neural Network Computer Simulation

Indexed keywords

CA MODEL; CHINA; COMPLEX ADAPTIVE SYSTEMS; CONFUSION MATRICES; CONVERSION PROBABILITY; EXTRACT MODELS; FIGURE OF MERIT; GIS ANALYSIS; GLOBAL ENVIRONMENTAL CHANGE; LAND USE/COVER; LAND USE/COVER CHANGE; LAND-USE CHANGE; LAND-USE DECISIONS; LAND-USE SYSTEMS; LANDSCAPE METRICS; MODEL OUTPUTS; MODEL SIMULATION; MODEL TRAINING; MULTIPLE CLASS; NETWORK MODELS; NON-LINEARITY; PATH DEPENDENCE; RADIAL BASIS FUNCTION NEURAL NETWORKS; RADIAL BASIS FUNCTIONS; SELF-ORGANIZATIONS; SPATIAL ANALYSIS; STUDY AREAS; TARGET TYPE;

ADAPTIVE SYSTEMS; ATTITUDE CONTROL; CELLULAR AUTOMATA; COMPUTATIONAL METHODS; COMPUTER NETWORKS; DECISION MAKING; ECOLOGY; GEOGRAPHIC INFORMATION SYSTEMS; LAND USE; MICROCOMPUTERS; NEURAL NETWORKS; PATTERN RECOGNITION SYSTEMS; RADIAL BASIS FUNCTION NETWORKS; SPATIAL VARIABLES MEASUREMENT;

COMPUTER SIMULATION;

ARTIFICIAL NEURAL NETWORK; CELLULAR AUTOMATON; COMPUTER SIMULATION; GIS; LAND COVER; LAND USE CHANGE; SPATIAL ANALYSIS; URBAN AREA;

CHINA; GUANGDONG; SHENZHEN;

EID: 78751609728     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2010.07.006     Document Type: Article

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