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Volumn 66, Issue 7, 2012, Pages 2047-2062

Determination of main climate and ground factors controlling vegetation cover regrowth along oil and gas pipelines using multiple, spatial and geographically weighted regression procedures

Author keywords

Geographically weighted regression; NDVI; Spatial regression

Indexed keywords

AIR TEMPERATURE; ANNUAL MAXIMA; ANNUAL PRECIPITATION; CAUCASUS; CLIMATE FACTORS; CONTROLLING FACTORS; DIRECT CONTROL; GEOGRAPHICALLY WEIGHTED REGRESSION; HIGH RESOLUTION; INDEPENDENT VARIABLES; LAND SURFACE TEMPERATURE; MULTIPLE REGRESSION MODEL; NDVI; OIL-AND-GAS PIPELINES; REGRESSION COEFFICIENT; REGRESSION MODEL; REGRESSION RESIDUALS; REMOTELY SENSED DATA; RIGHT OF WAY; SEMIVARIOGRAMS; SLOPE FACES; SPATIAL AUTOCORRELATIONS; SPATIAL COVERAGE; SPATIAL ERRORS; SPATIAL REGRESSION; SPATIAL REGRESSION MODEL; STRONG CORRELATION; VEGETATION COVER; VEGETATION DISTRIBUTION; VEGETATION INDEX;

EID: 84864079106     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-011-1429-6     Document Type: Article
Times cited : (16)

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