Prediction of spatial soil property information from ancillary sensor data using ordinary linear regression: Model derivations, residual assumptions and model validation tests

Geoderma

Volumn 148, Issue 2, 2008, Pages 130-140

  Lesch, S M ^a   Corwin, D L ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b U S SALINITY LABORATORY   (United States)

Author keywords

BLU estimation; BLU prediction; Geostatistics; Linear models; Soil salinity

Indexed keywords

CROPS; ELECTRIC CONDUCTIVITY; ELECTRIC REACTORS; FORECASTING; LINEAR REGRESSION; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PHOTOMASKS; REGRESSION ANALYSIS; SENSORS; SOIL TESTING; SOILS; STATISTICAL METHODS; STATISTICAL TESTS;

BLU ESTIMATION; BLU PREDICTION; GEOSTATISTICS; LINEAR MODELS; SOIL SALINITY;

GEOLOGIC MODELS;

ELECTRICAL CONDUCTIVITY; KRIGING; MODEL TEST; MODEL VALIDATION; PREDICTION; REGRESSION; REMOTE SENSING; SOIL PROPERTY; SPATIAL VARIATION;

EID: 56249083552     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2008.09.014     Document Type: Article

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