Incorporating environmental and geographical information in forest data analysis: A new fitting approach for universal kriging

Canadian Journal of Forest Research

Volumn 40, Issue 9, 2010, Pages 1852-1862

  Montes, Fernando ^a   Ledo, Alicia ^b  

^a Instituto Nacional de Investigación Y Tecnología Agraria Y Alimentaria   (Spain)

^b UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYSIS OF DATA; AUXILIARY INFORMATION; AUXILIARY VARIABLES; DATA ANALYSIS; ENVIRONMENTAL FACTORS; FOREST ECOSYSTEM; GEOGRAPHICAL INFORMATION; GROWING STOCKS; KRIGING; LEAST SQUARES METHODS; MEAN FUNCTIONS; OPTIMAL LINEAR MODEL; PINUS PINEA; PINUS SYLVESTRIS; PREDICTION ERRORS; SCOTS PINE; SECOND MOMENTS; SITE INDEX; SPATIAL DEPENDENCE; SPATIAL VARIABILITY; STONE PINE; TROPICAL MONTANE CLOUD FOREST; UNIVERSAL KRIGING; VARIOGRAMS;

DATA REDUCTION; ECOSYSTEMS; ESTIMATION; IMAGE RECORDING; INTERPOLATION; MAXIMUM LIKELIHOOD ESTIMATION;

FORESTRY;

CONIFEROUS TREE; DATA SET; ENVIRONMENTAL FACTOR; FOREST ECOSYSTEM; FOREST MANAGEMENT; FORESTRY MODELING; KRIGING; LINEARITY; PERFORMANCE ASSESSMENT; SHRUB; SPATIAL ANALYSIS; SPECIES DIVERSITY; STAND DYNAMICS; TROPICAL FOREST; VARIOGRAM;

ECOSYSTEMS; FORESTRY; IMAGE ANALYSIS; RECORDING;

MELIOSMA; PINUS PINEA; PINUS SYLVESTRIS;

EID: 77958061423     PISSN: 00455067     EISSN: 12086037     Source Type: Journal    
DOI: 10.1139/X10-131     Document Type: Article

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