000			02941nam a22003255i 4500
001			65096
005			20201023152110.0
010			_a978-1-4419-7762-5 _dcompra
090			_a65096
100			_a20150401d2011 k||y0pory50 ba
101			_aeng
102			_aUS
200			_aForest analytics with R _bDocumento electrónico _ean introduction _fAndrew P. Robinson, Jeff D. Hamann
210			_aNew York, NY _cSpringer _d2011
215			_aXIV, 354 p.
225			_aUse R
300			_aColocação: Online
303			_aForest Analytics with R combines practical, down-to-earth forestry data analysis and solutions to real forest management challenges with state-of-the-art statistical and data-handling functionality. The authors adopt a problem-driven approach, in which statistical and mathematical tools are introduced in the context of the forestry problem that they can help to resolve. All the tools are introduced in the context of real forestry datasets, which provide compelling examples of practical applications. The modeling challenges covered within the book include imputation and interpolation for spatial data, fitting probability density functions to tree measurement data using maximum likelihood, fitting allometric functions using both linear and non-linear least-squares regression, and fitting growth models using both linear and non-linear mixed-effects modeling. The coverage also includes deploying and using forest growth models written in compiled languages, analysis of natural resources and forestry inventory data, and forest estate planning and optimization using linear programming. The book would be ideal for a one-semester class in forest biometrics or applied statistics for natural resources management. The text assumes no programming background, some introductory statistics, and very basic applied mathematics. Andrew Robinson has been associate professor of forest mensuration and forest biometrics at the University of Idaho, and is currently senior lecturer in applied statistics at the University of Melbourne. He received his PhD in forestry from the University of Minnesota. Robinson is author of the popular and freely-available "icebreakeR" document. Jeff Hamann has been a software developer, forester, and financial analyst. He is currently a consultant specializing in forestry, operations research, and geographic information sciences. He received his PhD in forestry from Oregon State University. Both authors have presented numerous R workshops to forestry professionals and scientists, and others.
606			_aSilvicultura
606			_aR (Linguagem de programação)
606			_aEstatística matemática
680			_aSB298
700			_aRobinson _bAndrew P.
701			_aHamann _bJeff D. _4070 _950337
801			_aPT _gRPC
856			_uhttp://dx.doi.org/10.1007/978-1-4419-7762-5
942			_2lcc _cF _n0