Spatial prediction of soil great groups by boosted regression trees using a limited point dataset in an arid region, southeastern Iran

Geoderma

Volumn 232-234, Issue , 2014, Pages 148-163

  Jafari, Azam ^a   Khademi, Hossein ^b   Finke, Peter A ^c   Van de Wauw, Johan ^c   Ayoubi, Shamsollah ^b  

^a SHAHID BAHONAR UNIVERSITY OF KERMAN   (Iran)

^b ISFAHAN UNIVERSITY OF TECHNOLOGY   (Iran)

^c GHENT UNIVERSITY   (Belgium)

Author keywords

Boosted regression tree; Limited dataset; Soil diagnostic horizons; Soil great groups

Indexed keywords

ARID REGIONS; DECISION TREES; FORECASTING; LANDFORMS; PROBABILITY DISTRIBUTIONS; REGRESSION ANALYSIS; SOILS; REMOTE SENSING;

AUXILIARY VARIABLES; BOOSTED REGRESSION TREES; CATEGORICAL VARIABLES; LIMITED DATASET; POTENTIAL TECHNIQUES; PREDICTION ACCURACY; PREDICTIVE PERFORMANCE; QUANTITATIVE VARIABLES; DEPENDENT VARIABLES;

GEOMORPHOLOGY;

ALLUVIAL FAN; ARID REGION; DATA SET; DIGITAL ELEVATION MODEL; GEOMORPHOLOGICAL MAPPING; LANDSAT; PIXEL; PLAYA; REGRESSION ANALYSIS; REMOTE SENSING; SATELLITE DATA; SOIL HORIZON; SPATIAL ANALYSIS; GEOLOGICAL MAPPING; GEOMORPHOLOGY; IMAGE CLASSIFICATION; PREDICTION;

IRAN;

EID: 84901478378     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2014.04.029     Document Type: Article

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