| 书目名称 | Forest Analytics with R | | 副标题 | An Introduction | | 编辑 | Andrew P. Robinson,Jeff D. Hamann | | 视频video | | | 概述 | Use of real datasets provides detailed and realistic examples of forestry data handling and analysis.Guided by forestry problems, not by statistical tools, so all material is driven by context instead | | 丛书名称 | Use R! | | 图书封面 |  | | 描述 | .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. Theauthors 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 andusing 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 r | | 出版日期 | Textbook 2011 | | 关键词 | forest biometrics; forest informatics; forest management; forest statistics; natural resources managemen | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4419-7762-5 | | isbn_softcover | 978-1-4419-7761-8 | | isbn_ebook | 978-1-4419-7762-5Series ISSN 2197-5736 Series E-ISSN 2197-5744 | | issn_series | 2197-5736 | | copyright | Springer Science+Business Media, LLC 2011 |
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发表于 2025-3-21 17:28:03
