03083oam 2200457 450 99641819480331620220623182247.03-030-55020-610.1007/978-3-030-55020-2(CKB)4100000011679150(DE-He213)978-3-030-55020-2(MiAaPQ)EBC6455914(PPN)252517342(EXLCZ)99410000001167915020210618d2020 uy 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierEnvironmental data analysis an introduction with examples in R /Carsten Dormann1st ed. 2020.Cham, Switzerland :Springer,[2020]©20201 online resource (XIX, 264 p. 136 illus., 27 illus. in color.)3-030-55019-2 Preface -- The technical side: selecting a statistical software -- 1 Sample statistics -- 2 Sample statistics in R -- 3 Distributions, parameters and estimators -- 4 Distributions, parameters and estimators in R -- 5 Correlation and association -- 6 Correlation and association in R -- 7 Regression - Part I -- 8 Regression in R - Part I -- 9 Regression - Part II -- 10 Regression in R - Part II -- 11 The linear model: t-test and ANOVA -- 12 The linear model: t-test and ANOVA in R -- 13 Hypotheses and tests -- 14 Experimental Design -- 15 Multiple Regression -- 16 Multiple Regression in R -- 17 Outlook -- Index.Environmental Data Analysis is an introductory statistics textbook for environmental science. It covers descriptive, inferential and predictive statistics, centred on the Generalized Linear Model. The key idea behind this book is to approach statistical analyses from the perspective of maximum likelihood, essentially treating most analyses as (multiple) regression problems. The reader will be introduced to statistical distributions early on, and will learn to deploy models suitable for the data at hand, which in environmental science are often not normally distributed. To make the initially steep learning curve more manageable, each statistical chapter is followed by a walk-through in a corresponding R-based how-to chapter, which reviews the theory and applies it to environmental data. In this way, a coherent and expandable foundation in parametric statistics is laid, which can be expanded in advanced courses.The content has been “field-tested” in several years of courses on statistics for Environmental Science, Geography and Forestry taught at the University of Freiburg. .Environmental sciencesStatistical methodsR (Computer program language)Environmental sciencesStatistical methods.R (Computer program language).363.70072Dormann Carsten996171MiAaPQMiAaPQUtOrBLWBOOK996418194803316Environmental data analysis2282990UNISA