A spatially constrained clustering program for river valley segment delineation from GIS digital river networks

Environmental Modelling and Software

Volumn 23, Issue 5, 2008, Pages 638-649

  Brenden, T O ^a   Wang, L ^a   Seelbach, P W ^a   Clark Jr , R D ^a   Wiley, M J ^a   Sparks Jackson, B L ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Cluster affinity search technique; Digital river network; River valley segment; Spatially constrained clustering; Stream management

Indexed keywords

GEOGRAPHIC INFORMATION SYSTEMS; HYDROLOGY; RIVERS; STREAM FLOW;

CLUSTER AFFINITY SEARCH TECHNIQUES; DIGITAL RIVER NETWORKS; RIVER VALLEY SEGMENTS; SPATIALLY CONSTRAINED CLUSTERING; STREAM MANAGEMENT;

CLUSTERING ALGORITHMS;

CLUSTER ANALYSIS; COMPARATIVE STUDY; DATABASE; GIS; RIVER MANAGEMENT; STREAM; VALLEY;

MICHIGAN; NORTH AMERICA; UNITED STATES; WISCONSIN;

EID: 38149053909     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2007.09.004     Document Type: Article

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