Digital mapping of soil organic carbon at multiple depths using different data mining techniques in Baneh region, Iran

Geoderma

Volumn 266, Issue , 2016, Pages 98-110

  Taghizadeh Mehrjardi, R ^a   Nabiollahi, K ^b   Kerry, R ^c  

^a Ardakan University   (Iran)

^b UNIVERSITY OF KURDISTAN   (Iran)

^c BRIGHAM YOUNG UNIVERSITY   (United States)

Author keywords

Artificial neural network; Genetic programming; k nearest neighbor; Random forest; Regression tree model; Support vector regression

Indexed keywords

ALGORITHMS; DECISION TREES; FORECASTING; FORESTRY; GENETIC ALGORITHMS; GENETIC PROGRAMMING; MAPPING; MEAN SQUARE ERROR; MOTION COMPENSATION; NEAREST NEIGHBOR SEARCH; NEURAL NETWORKS; ORGANIC CARBON; REGRESSION ANALYSIS; SOIL SURVEYS; SOILS;

DIGITAL ELEVATION MODEL; K-NEAREST NEIGHBORS; LATIN HYPERCUBE SAMPLING METHODS; NORMALIZED DIFFERENCE VEGETATION INDEX; RANDOM FORESTS; REGRESSION TREE MODELS; SOIL ORGANIC CARBON CONTENT; SUPPORT VECTOR REGRESSION (SVR);

DATA MINING;

ARTIFICIAL NEURAL NETWORK; DATA MINING; DIGITAL MAPPING; GENETIC ALGORITHM; NEAREST NEIGHBOR ANALYSIS; ORGANIC CARBON; REGRESSION ANALYSIS; SOIL ORGANIC MATTER; SUPPORT VECTOR MACHINE;

BANEH; IRAN; KORDESTAN [IRAN];

EID: 84952879433     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2015.12.003     Document Type: Article

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