Spiking of NIR regional models using samples from target sites: Effect of model size on prediction accuracy

Geoderma

Volumn 158, Issue 1-2, 2010, Pages 66-77

  Guerrero, César ^a   Zornoza, Raul ^a   Gómez, Ignacio ^a   Mataix Beneyto, Jorge ^a  

^a MIGUEL HERNÁNDEZ UNIVERSITY   (Spain)

Author keywords

Local models; Near infrared spectroscopy; Regional models; Spectral diversity; Spiking

Indexed keywords

ACCURATE PREDICTION; BEFORE AND AFTER; KJELDAHL; LARGE DATA; LOCAL MODEL; LOCAL MODELS; LOCAL PREDICTION; MODEL SIZE; MULTIVARIATE TECHNIQUES; NEAR INFRARED REFLECTANCE SPECTROSCOPY; NIR SPECTRUM; PARTIAL LEAST-SQUARES REGRESSION; PREDICTION ACCURACY; RECALIBRATIONS; REGIONAL MODEL; SOIL PROPERTY; SOIL SAMPLE; SPECTRA CHARACTERISTIC; SPECTRAL CHARACTERISTICS; SPECTRAL DIVERSITY; SPECTRAL LIBRARIES; TARGET SITES;

CALIBRATION; FORECASTING; INFRARED DEVICES; INFRARED SPECTROSCOPY; NEAR INFRARED SPECTROSCOPY; SOIL SURVEYS; SOIL TESTING; SOILS; TARGETS;

GEOLOGIC MODELS;

ACCURACY ASSESSMENT; CALIBRATION; COST-BENEFIT ANALYSIS; HYPOTHESIS TESTING; INFRARED SPECTROSCOPY; MULTIVARIATE ANALYSIS; NUMERICAL MODEL; REGRESSION ANALYSIS; SPECTRAL REFLECTANCE;

EID: 77953618201     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2009.12.021     Document Type: Article

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