Statistical Data Analysis Explained: Applied Environmental Statistics with R

by Clemens Reimann (Geological Survey of Norway, Trondheim, Norway); Peter Filzmoser (Institute of Statistics, Vienna University of Technology, Austria ); Robert Garrett (Geological Survey of Canada, Natural Resources Canada, Ottawa, Canada); Rudolf Dut

• ISBN13: 9780470987599
• ISBN10: 0470987596
• Format: eBook
• Copyright: 2008-07-01
• Publisher: Wiley

Summary

Few books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand. This is a book written in colloquial language, avoiding mathematical formulae as much as possible, trying to explain statistical methods using examples and graphics instead. To use the book efficiently, readers should have some computer experience. The book starts with the simplest of statistical concepts and carries readers forward to a deeper and more extensive understanding of the use of statistics in environmental sciences. The book concerns the application of statistical and other computer methods to the management, analysis and display of spatial data. These data are characterised by including locations (geographic coordinates), which leads to the necessity of using maps to display the data and the results of the statistical methods. Although the book uses examples from applied geochemistry, and a large geochemical survey in particular, the principles and ideas equally well apply to other natural sciences, e.g., environmental sciences, pedology, hydrology, geography, forestry, ecology, and health sciences/epidemiology.The book is unique because it supplies direct access to software solutions (based on R, the Open Source version of the S-language for statistics) for applied environmental statistics. For all graphics and tables presented in the book, the R-scripts are provided in the form of executable R-scripts. In addition, a graphical user interface for R, called DAS+R, was developed for convenient, fast and interactive data analysis.Statistical Data Analysis Explained: Applied Environmental Statistics with R provides, on an accompanying website, the software to undertake all the procedures discussed, and the data employed for their description in the book.

Table of Contents

Preface

Acknowledgements

About The Authors

Introduction

The Kola Ecogeochemistry Project

Preparing the Data for Use in R and DAS+R

Required data format for import into R and DAS+R

The detection limit problem

Missing Values

Some "typical" problems encountered when editing a laboratory data report file to a DAS+R file

Appending and linking data files

Requirements for a geochemical database

Summary

Graphics to Display the Data Distribution

The one-dimensional scatte

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