Forest Analytics with R (BOK)

Andrew P. Robinson, Jeff D. Hamann

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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.

Produktfakta

Språk Engelsk Engelsk Innbinding Heftet
Utgitt 2010 Forfatter Andrew P. Robinson, Jeff D. Hamann
Forlag
Springer
ISBN 9781441977618
Antall sider 340 Dimensjoner 15,6cm x 23,4cm x 1,8cm
Vekt 500 gram Leverandør Bertram Trading Ltd
Emner og form Trees, wildflowers & plants, Epidemiology & medical statistics, Environmental science, engineering & technology, Forestry & silviculture: practice & techniques