Methods for variable selection in LiDAR-assisted forest inventories | Zendy

Paolo Moser | Zendy; Alexander Christian Vibrans | Zendy; Ronald E. McRoberts | Zendy; Erik Næsset | Zendy; Terje Gobakken | Zendy; Gherardo Chirici | Zendy; Matteo Mura | Zendy; Marco Marchetti | Zendy

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Methods for variable selection in LiDAR-assisted forest inventories

Author(s) -

Paolo Moser,

Alexander Christian Vibrans,

Ronald E. McRoberts,

Erik Næsset,

Terje Gobakken,

Gherardo Chirici,

Matteo Mura,

Marco Marchetti

Publication year - 2016

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/cpw041

Subject(s) - akaike information criterion , overfitting , statistics , feature selection , variable (mathematics) , mean squared error , forest inventory , mathematics , population , computer science , variables , bayesian information criterion , random forest , mathematical optimization , forest management , artificial intelligence , geography , mathematical analysis , demography , sociology , forestry , artificial neural network

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