Modeling Change-Pattern-Value dynamics on land use: An integrated GIS and Artificial Neural Networks approach

Environmental Management

Volumn 36, Issue 4, 2005, Pages 576-591

  Dai, Erfu ^a   Wu, Shaohong ^a   Shi, Wenzhong ^b   Cheung, Chui Kwan ^b   Shaker, Ahmed ^b  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Artificial Neural Networks; Change in land use; Change Pattern Value (CPV) analysis; Driving factors for land use change; GIS; Pearl River Delta Region; Remote sensing

Indexed keywords

ECOLOGY; ECONOMICS; FORESTRY; NEURAL NETWORKS; REMOTE SENSING;

CHANGE IN LAND USE; DRIVING FACTORS FOR LAND-USE CHANGE; SPATIAL DIMENSIONS;

LAND USE;

ARTIFICIAL NEURAL NETWORK; GIS; LAND USE CHANGE; REMOTE SENSING;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHINA; ECONOMIC DEVELOPMENT; LAND USE; MATHEMATICAL MODEL; POPULATION GROWTH; RIVER ECOSYSTEM; SOCIOECONOMICS;

AGRICULTURE; CHINA; CONSERVATION OF NATURAL RESOURCES; ECOSYSTEM; ENVIRONMENTAL MONITORING; GEOGRAPHIC INFORMATION SYSTEMS; NEURAL NETWORKS (COMPUTER); RIVERS; TREES;

ECOLOGY; FORESTRY; LAND USE;

ASIA; CHINA; EASTERN HEMISPHERE; EURASIA; FAR EAST; GUANGDONG; WORLD; ZHUJIANG DELTA;

EID: 26844503176     PISSN: 0364152X     EISSN: 14321009     Source Type: Journal    
DOI: 10.1007/s00267-004-0165-z     Document Type: Article

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