Evaluation of spatial predictions of site index obtained by parametric and nonparametric methods - A case study of lodgepole pine productivity

Forest Ecology and Management

Volumn 214, Issue 1-3, 2005, Pages 201-211

  Wang, Yonghe ^a   Raulier, Frédéric ^b   Ung, Chhun Huor ^a  

^a LAURENTIAN FORESTRY CENTRE   (Canada)

^b UNIVERSITÉ LAVAL   (Canada)

Author keywords

Generalized additive model; Lodgepole pine; Mature stands; Neural network model; Nonlinear regression; Over mature stand; Tree based model

Indexed keywords

DATA ACQUISITION; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; NEURAL NETWORKS; NUMERICAL ANALYSIS; REGRESSION ANALYSIS;

DATA MODELING CULTURE; ENVIRONMENTAL DATA; MAPPING SITE INDEX; STEM ANALYSIS;

FORESTRY;

BIOLOGICAL PRODUCTION; ENVIRONMENTAL CONDITIONS; SPATIAL DISTRIBUTION;

DATA PROCESSING; FORESTRY; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS; SITE INDEX; STEMS;

ALBERTA; CANADA; NORTH AMERICA; WESTERN HEMISPHERE; WORLD;

PINUS CONTORTA;

EID: 21444439924     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2005.04.025     Document Type: Article

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