A geographically weighted regression kriging approach for mapping soil organic carbon stock

Geoderma

Volumn 189-190, Issue , 2012, Pages 627-634

  Kumar, Sandeep ^a   Lal, Rattan ^a   Liu, Desheng ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

Geographically weighted regression (GWR); Geographically weighted regression kriging (GWRK); Regression kriging (RK); Soil organic carbon (SOC)

Indexed keywords

DATA SETS; ENVIRONMENTAL VARIABLES; GEOGRAPHICALLY WEIGHTED REGRESSION; INDEPENDENT VARIABLES; LINEAR REGRESSION MODELS; LOCAL VARIATIONS; MODEL PARAMETERS; NORMALIZED DIFFERENCE VEGETATION INDEX; PENNSYLVANIA; REGRESSION-KRIGING; ROOT MEAN SQUARE ERRORS; SOIL ORGANIC CARBON; SOIL PROFILES; SPATIAL AUTOCORRELATIONS; SPATIAL MODELING; SPATIAL NON-STATIONARITY; STATE OF PENNSYLVANIA;

ESTIMATION; GEOLOGIC MODELS; INTERPOLATION; MEAN SQUARE ERROR; SOIL SURVEYS; SOILS;

REGRESSION ANALYSIS;

AUTOCORRELATION; DATA SET; ENVIRONMENTAL GRADIENT; GEOLOGICAL MAPPING; KRIGING; NDVI; NUMERICAL MODEL; ORGANIC CARBON; REGRESSION ANALYSIS; SHRUB; SOIL ORGANIC MATTER; SOIL PROFILE; SOIL TYPE; SPATIAL VARIATION;

PENNSYLVANIA; UNITED STATES;

EID: 84865589653     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2012.05.022     Document Type: Article

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