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Volumn 31, Issue 1, 2011, Pages 292-302

Detecting spatially non-stationary and scale-dependent relationships between urban landscape fragmentation and related factors using Geographically Weighted Regression

Author keywords

China; Geographically Weighted Regression; Landscape fragmentation; Scale dependence; Shenzhen City; Spatial non stationarity

Indexed keywords

AUTOCORRELATION; DETECTION METHOD; LAND DEGRADATION; LAND MANAGEMENT; NUMERICAL MODEL; PLANNING METHOD; POLICY MAKING; REGRESSION ANALYSIS; URBAN PLANNING;

EID: 78649446630     PISSN: 01436228     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apgeog.2010.06.003     Document Type: Article
Times cited : (219)

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