Holistic environmental soil-landscape modeling of soil organic carbon

Environmental Modelling and Software

Volumn 57, Issue , 2014, Pages 202-215

  Xiong, Xiong ^a   Grunwald, Sabine ^a   Myers, D Brenton ^b   Kim, Jongsung ^a   Harris, Willie G ^a   Comerford, Nicolas B ^c  

^a UNIVERSITY OF FLORIDA   (United States)

^b UNIVERSITY OF MISSOURI   (United States)

^c UNIVERSITY OF FLORIDA   (United States)

Author keywords

Categorical variables; Data reduction; Environmental soil landscape modeling; Soil organic carbon; STEP AWBH model; Variable selection

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA REDUCTION; SIMULATED ANNEALING; SOIL MOISTURE;

CATEGORICAL VARIABLES; ENVIRONMENTAL VARIABLES; MACHINE LEARNING TECHNIQUES; PREDICTIVE PERFORMANCE; PROCESS IDENTIFICATION; SOIL ORGANIC CARBON; SOIL-LANDSCAPE MODELS; VARIABLE SELECTION;

LEARNING SYSTEMS;

ENVIRONMENTAL FACTOR; HOLISTIC APPROACH; MODEL VALIDATION; PEDOGENESIS; SOIL CARBON; SOIL ORGANIC MATTER; SOIL WATER; TOPOGRAPHY; VEGETATION DYNAMICS;

FLORIDA [UNITED STATES]; UNITED STATES;

EID: 84901479295     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2014.03.004     Document Type: Article

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