00000cmm a22000004a 4500 UP-99796217611212312 Buklod 20230215085534.0 m go j cr |nu|||auu|a 101104s2011 xxu u | eng d 9781441977625 (eBook) 1441977627 (eBook) (iLib)UPD-00215704072 DML eng DMLUC SD 373 R63 2011eb Robinson, Andrew (Andrew P.) Forest analytics with R an introduction [electronic resource] Andrew P. Robinson, Jeff D. Hamann. New York, N.Y. Springer 2011. 1 online resource (xv, 339 p.) ill. Use R! Introduction -- Forest data management -- Data analysis for common inventory methods -- Imputation and Interpolation -- Fitting dimensional distributions -- Linear and non-linear models -- Fitting linear hierarchical models -- Simulations -- Forest estate planning and optimization. IP-based subscription, access limited to within on-campus computer network. Access via Electronic Resources of the UPD University Library Website. Forest 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. Electronic reproduction. New York SpringerLink 2011. Available via World Wide Web through SpringerLink. Forests and forestry. Electronic books. Hamann, Jeff D. SpringerLink (Online service). Electronic Resource Available for University of the Philippines Diliman via SpringerLink. Click here to access http://link.springer.com/book/10.1007/978-1-4419-7762-5 FO Monograph UPD DMLR Electronic Resource