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Evaluation of the spatial linear model, random forest and gradient nearest-neighbour methods for imputing potential productivity and biomass of the Pacific Northwest forests
Author(s) -
Habtamu Temesgen,
Jay M. Ver Hoef
Publication year - 2014
Publication title -
forestry an international journal of forest research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.747
H-Index - 63
eISSN - 1464-3626
pISSN - 0015-752X
DOI - 10.1093/forestry/cpu036
Subject(s) - productivity , biomass (ecology) , environmental science , random forest , forest inventory , forest management , statistics , ecology , agroforestry , mathematics , computer science , macroeconomics , economics , biology , machine learning

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