Handbook of Exploration Geochemistry, Volume 2: Statistics and Data Analysis in Geochemical Prospecting aims to survey the techniques available for the quality control of laboratory data, storage and retrieval of field and laboratory information, statistical analysis of single- and multi-element data, and presentation of geochemical data as maps. The selection first elaborates on data storage and retrieval, control procedures in geochemical analysis, and univariate analysis. Discussions focus on analysis of variance, density distribution, probability graphs, statistical basis of analytical quality control, laboratory control procedures, data storage media, data organization, programming considerations, and generalized data systems. The book then takes a look at sampling methodology, mapping, and multivariate analysis. Concerns cover correlation, cluster analysis, regression, partial correlation, class selection techniques, map filtering techniques, cross-correlation maps, strategies for optimum sampling design, and search techniques. The manuscript elaborates on examples of geochemical data processing in Africa, mathematical and statistical activity in North America, statistical models for geochemical anomalies, geochemical characterization of tin granites in northern Thailand, and use of pattern classification methods in till geochemistry. The selection is highly recommended for researchers interested in statistics and data analysis in geochemical prospecting.

Here is another contribution in the continuing series on Computer Methods in the Geosciences. As its title suggests, this volume will be of interest to explorational geochemists who want to analyze their own data on a personal computer (PC). To make it easy for the user, the programs and two trial data sets are provided on the accompanying diskettes. And, by supplying the diskettes, another first is accom plished for the series: instant involvement and interaction for the user. Although other books in the series have provided listings of computer pro grams, Exploration-Geochemical Data Analysis with the IBM PC is the first to supply diskettes. The diskettes, along with the instructions outlined in the text, eliminate the bother (and errors) of pu tting the programs in man ually. The suite of programs for handling and sorting data files; computing and displaying summary statistics; and working with logarithms, geochemical thresholds, and regression - will give geochemists a good repertoire for geochemical exploration data analysis. The diskettes are easy to use and have been tested thoroughly.

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.

Statistical evaluations of exploration data are the basis for decisions to be made at various stages of an exploration project. In contrast to other geostatistical books, Statistical Evaluations in Exploration for Mineral Deposits focuses not only on theory, but examples are also given, frequently originating from experience in mineral exploration by the author who worked worldwide for a mining company. Together with its companion volume, Economic Evaluations in Exploration, the book illustrates methods used in exploration campaigns and mining activities. It is intended as a vademecum for geologists who are forced to make quick decisions regarding an exploration project. It also addresses scientists and students involved in teaching or in mineral economic evaluations, recommendations or decisions.

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.

This volume contains chapters spanning from the role of geochemistry in the environment in general to specific investigations on site characterization (sampling strategy, analytical procedures and problems). Specific articles deal with health problems related to environment pollution, waste disposal, data base management, and provide illustrations of specific case histories of site characterization and remediation of brownfield sites.* Comprehensive analysis providing background information ranging from geochemistry in general to specific investigations* Provides practical insight through case study material* Informs and updates students and practitioners on hot topics, latest trends and developments

This volume 'Use ofMicrocomputers in Geology' is the sixth in the series Computer Applications in the Earth Sciences published by Plenum Press in New York. The series was started in 1969 to publish proceedings of important meetings on geomathematics and computer applications. The first two volumes recorded proceedings ofthe Colloquia (1969,1970) sponsored by the Kansas Geological Survey at The University ofKansas in Lawrence. The third volume was proceedings ofthe 8th International Sedimentological Congress (1971) held in Heidelberg, West Germany; the fourth was preceedings ofthe 8th Geochautauqua (1979) at Syracuse Universityin Syracuse, New York; and the fifth was selected papers from the 27th International Geological Congress (1989) held in Washington, D.C. All meetings were cosponsored by the International Association for Mathematical Geology. These special publications are important in the development of quantitative geology. Papers by a wide range of authors on a wide range of topics gives the reader a flavor for recent advances in the subject -in this volume, those advances in the use ofmicrocomputers. The 24 authors ofthe 15 papers come from nine countries -Australia, Austria, Canada, France, Italy, Portugal, Switzerland, UK, and USA. My coeditor, Hans Kürzl, has given pertinent information on the included papers in the Introduction.