A comparison of selected parametric and imputation methods for estimating snag density and snag quality attributes

Forest Ecology and Management

Volumn 272, Issue , 2012, Pages 26-34

  Eskelson, B N I ^a   Temesgen, H ^a   Hagar, J C ^b  

^a OREGON STATE UNIVERSITY   (United States)

^b FOREST AND RANGELAND ECOSYSTEM SCIENCE CENTER   (United States)

Author keywords

Nearest neighbor imputation; Ordinal regression; Snag decay class; Snag density; Snag size class

Indexed keywords

DECAY CLASS; NEAREST NEIGHBOR IMPUTATION; ORDINAL REGRESSION; SNAG DENSITY; SNAG SIZE;

ANIMALS; DECAY (ORGANIC); DECISION TREES; ESTIMATION; LAND USE; LOGISTICS; MEAN SQUARE ERROR; PARAMETER ESTIMATION; REGRESSION ANALYSIS;

FORESTRY;

CLASSIFICATION; COMPARATIVE STUDY; DECISION MAKING; LAND TYPE; LANDSAT THEMATIC MAPPER; MULTIVARIATE ANALYSIS; PARAMETERIZATION; REGRESSION ANALYSIS; SATELLITE DATA; SNAG; STAND STRUCTURE; WILDLIFE MANAGEMENT;

ANIMALS; CLIMATES; DECAY; DECISION THEORY; ESTIMATION; FORESTRY; LAND USE; PARAMETERS; REGRESSION ANALYSIS; WILD LIFE;

OREGON; UNITED STATES; WASHINGTON [UNITED STATES];

EID: 84859211323     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2011.06.041     Document Type: Article

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