Statistical Data Analysis Explained

Beschreibung

Statistical Data Analysis Explained Applied Environmental Statistics with R Statistical Data Analysis Explained provides an accessible guide to practical data analysis for applied environmental sciences, using many of today's advanced Statistical. Written in a concise and logical manner, the book avoids complex Statistical jargon and can be easily understood by non-statisticians. Mathematical formulae is avoided where possible with explanations carried out using relevant examples. Opening with the simplest of statistical concepts, the book carefully moves on to introduce the reader to a more comprehensive understanding of he use of statistics within the environmental sciences. Clearly structured throughout, the book links the application of Statistical and other computer methods to the management, analysis and presentation of spatial data. Many of the examples used in the book are taken from applied geochemistry,although he principles and ideas apply equally to other natural sciences, for example, environmental science, hydrology, geography, forestry and ecology. The book will be an invaluable reference to anyone working with spatially-dependent data. * Approaches statistics without excessive formulae and avoids statistical jargon for the non-statistician * Accompanying website includes example data and the software package, DAS+R, as well as GUI and R-scripts. http://www.statistik.tuwien,ac.at/StatDA/ * Features an abundance of examples the reader can follow and duplicate, using R software * Takes an interdisciplinary approach combining the expertise of two geochemists and two statisticians * Focuses on exploratory data analysis for spatial data
Statistical Data Analysis Explained Applied Environmental Statistics with R Statistical Data Analysis Explained provides an accessible guide to practical data analysis for applied environmental sciences, using many of today's advanced Statistical. Written in a concise and logical manner, the book avoids complex Statistical jargon and can be easily understood by non-statisticians. Mathematical formulae is avoided where possible with explanations carried out using relevant examples. Opening with the simplest of statistical concepts, the book carefully moves on to introduce the reader to a more comprehensive understanding of he use of statistics within the environmental sciences. Clearly structured throughout, the book links the application of Statistical and other computer methods to the management, analysis and presentation of spatial data. Many of the examples used in the book are taken from applied geochemistry,although he principles and ideas apply equally to other natural sciences, for example, environmental science, hydrology, geography, forestry and ecology. The book will be an invaluable reference to anyone working with spatially-dependent data. * Approaches statistics without excessive formulae and avoids statistical jargon for the non-statistician * Accompanying website includes example data and the software package, DAS+R, as well as GUI and R-scripts. http://www.statistik.tuwien,ac.at/StatDA/ * Features an abundance of examples the reader can follow and duplicate, using R software * Takes an interdisciplinary approach combining the expertise of two geochemists and two statisticians * Focuses on exploratory data analysis for spatial data

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Clemens Reimann

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Biowissenschaften Datenanalyse Environmental Science Environmental Studies Life Sciences Methods & Statistics in Ecology Ökologie / Methoden, Statistik Umweltforschung Umweltwissenschaften

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