Mapping soil organic carbon content by geographically weighted regression: A case study in the Heihe River Basin, China

Geoderma

Volumn 261, Issue , 2016, Pages 11-22

  Song, Xiao Dong ^a   Brus, Dick J ^a,b   Liu, Feng ^a   Li, De Cheng ^a   Zhao, Yu Guo ^a   Yang, Jin Ling ^a   Zhang, Gan Lin ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

Cross validation; Digital soil mapping; Effective sample size; Kriging with an external drift (KED); Map accuracy; Restricted maximum likelihood (REML)

Indexed keywords

CARBON; FORECASTING; INTERPOLATION; LINEAR REGRESSION; MAPPING; MAXIMUM LIKELIHOOD; MEAN SQUARE ERROR; ORGANIC CARBON; RANDOM PROCESSES; SAMPLING; SOILS; STATISTICAL METHODS;

CROSS VALIDATION; DIGITAL SOIL MAPPINGS; KRIGING WITH AN EXTERNAL DRIFT; RESTRICTED MAXIMUM LIKELIHOOD; SAMPLE SIZES;

REGRESSION ANALYSIS;

ACCURACY ASSESSMENT; ALPINE ENVIRONMENT; DIGITAL MAPPING; GEOLOGICAL MAPPING; KRIGING; MAXIMUM LIKELIHOOD ANALYSIS; MODEL VALIDATION; OASIS; ORGANIC CARBON; PARAMETERIZATION; REGRESSION ANALYSIS; SAMPLING; SOIL CARBON;

CHINA; GANSU; HEIHE BASIN;

EID: 84936972113     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2015.06.024     Document Type: Article

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