Similarity Weighted Instance-based Learning for the Generation of Transition Potentials in Land Use Change Modeling

Transactions in GIS

Volumn 14, Issue 5, 2010, Pages 569-580

  Sangermano, Florencia ^a   Eastman, J Ronald ^a   Zhu, Honglei ^a  

^a CLARK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIODIVERSITY; CLIMATE CHANGE; CLIMATE MODELS; DECISION MAKING; LAND USE; LEARNING ALGORITHMS; NEAREST NEIGHBOR SEARCH; NETWORK LAYERS;

CASE-STUDIES; DECISION MAKERS; INSTANCE-BASED LEARNING; LAND CHANGES; LAND USE CHANGE MODELS; MODEL TRANSITION; MULTILAYER PERCEPTRONS NEURAL NETWORKS (MLPS); NEAREST-NEIGHBOR ALGORITHMS; SIMPLE METHOD; USER FRIENDLY;

DEFORESTATION;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; DEFORESTATION; GIS; LAND USE CHANGE; LEARNING; NEAREST NEIGHBOR ANALYSIS; NUMERICAL MODEL; PERFORMANCE ASSESSMENT;

EID: 78649514497     PISSN: 13611682     EISSN: 14679671     Source Type: Journal    
DOI: 10.1111/j.1467-9671.2010.01226.x     Document Type: Article

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