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Forest Analytics with R: An Introduction (Use R!),Used
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Forest Analytics with R combines practical, downtoearth forestry data analysis and solutions to real forest management challenges with stateoftheart statistical and datahandling functionality. The authors adopt a problemdriven 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 nonlinear leastsquares regression, and fitting growth models using both linear and nonlinear mixedeffects 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 onesemester 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.
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