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Titlebook: Introduction to R for Terrestrial Ecology; Basics of Numerical Milena Lakicevic,Nicholas Povak,Keith M. Reynolds Textbook 2020 Springer Na

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發(fā)表于 2025-3-21 19:15:14 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Introduction to R for Terrestrial Ecology
副標(biāo)題Basics of Numerical
編輯Milena Lakicevic,Nicholas Povak,Keith M. Reynolds
視頻videohttp://file.papertrans.cn/475/474112/474112.mp4
概述Introduces the problems and analysis of terrestrial ecology, and how R can help solve them.Comprehensive tutorial begins with installation of the R software, demonstrates how to process data tables, p
圖書封面Titlebook: Introduction to R for Terrestrial Ecology; Basics of Numerical  Milena Lakicevic,Nicholas Povak,Keith M. Reynolds Textbook 2020 Springer Na
描述.This textbook covers R data analysis related to environmental science, starting with basic examples and proceeding up to advanced applications of the R programming language. The main objective of the textbook is to serve as a guide for undergraduate students, who have no previous experience with R, but part of the textbook is dedicated to advanced R applications, and will also be useful for Masters and PhD students, and professionals...?The textbook deals with solving specific programming tasks in R, and tasks are organized in terms of gradually increasing R proficiency, with examples getting more challenging as the chapters progress. The main competencies students will acquire from this textbook are:?..manipulating and processing data tables.performing statistical tests.creating maps in R?....This textbook will be useful in undergraduate and graduate courses in Advanced LandscapeEcology, Analysis of Ecological and Environmental Data, Ecological Modeling, Analytical Methods for Ecologists, Statistical Inference for Applied Research, Elements of Statistical Methods, Computational Ecology, Landscape Metrics and Spatial Statistics.?...
出版日期Textbook 2020
關(guān)鍵詞maps; R; programming; language; ecological modelling; environmental data; landscape ecology; statistical me
版次1
doihttps://doi.org/10.1007/978-3-030-27603-4
isbn_softcover978-3-030-27605-8
isbn_ebook978-3-030-27603-4
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Textbook 2020y, Analysis of Ecological and Environmental Data, Ecological Modeling, Analytical Methods for Ecologists, Statistical Inference for Applied Research, Elements of Statistical Methods, Computational Ecology, Landscape Metrics and Spatial Statistics.?...
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dergraduate and graduate courses in Advanced LandscapeEcology, Analysis of Ecological and Environmental Data, Ecological Modeling, Analytical Methods for Ecologists, Statistical Inference for Applied Research, Elements of Statistical Methods, Computational Ecology, Landscape Metrics and Spatial Statistics.?...978-3-030-27605-8978-3-030-27603-4
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iled analyses of specific topics such as the role of antibiotics in animal production, the Green Revolution, and alternative methods of organic farming, with longer entries that summarize general areas of schol978-94-007-6167-4
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Milena Lakicevic,Nicholas Povak,Keith M. Reynoldsiled analyses of specific topics such as the role of antibiotics in animal production, the Green Revolution, and alternative methods of organic farming, with longer entries that summarize general areas of schol978-94-007-6167-4
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nging debates encompass questions in human nutrition, animal rights and the environmental impacts of aquaculture and agricultural production. Each of these and related topics is both technically complex and inv978-94-007-0929-4
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