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Legacy geochemical and locality data for 414,304 rock, 397,625 soil and stream sediment, and 335,547 water samples acquired over the 100-year history of the U.S. Geological Survey are digitally compiled in the National Geochemical Database. Upcoming mineral environmental and resource assessments of the Nation will utilize some or all of these data to define geochemically anomalous areas. In such assess- ments it is advantageous to define the watershed from which sediment, soil, and water samples were derived. The goal of this study was to determine the most expedient methods to delineate and display the source catchments and hydrologic contributing areas of geochemically anomalous sediment, soil, and associated rock samples.
Research in the field of automated generalisation has faced new challenges in recent years as a result of technological developments in web-based processing, new visualisation paradigms and access to very large volumes of multi-source data generated by sensors and humans. In these contexts, map generalisation needs to underpin ‘on-demand mapping’, a form of mapping that responds to individual user requirements in the thematic selection and visualisation of geographic information. It is this new impetus that drives the research of the ICA Commission on Generalisation and Multiple Representation (for example through its annual workshops, biannual tutorials and publications in international journals). This book has a coherent structure, each chapter focusing on core concepts and tasks in the map generalisation towards on-demand mapping. Each chapter presents a state-of-the-art review, together with case studies that illustrate the application of pertinent generalisation methodologies. The book addresses issues from data gathering to multi scaled outputs. Thus there are chapters devoted to defining user requirements in handling specifications, and in the application and evaluation of map generalisation algorithms. It explores the application of generalisation methodologies in the context of growing volumes of data and the increasing popularity of user generated content.
This volume contains the edited papers prepared by lecturers and participants of the NATO Advanced Study Institute on "Statistical Treatments for Estimation of Mineral and Energy Resources" held at II Ciocco (Lucca), Italy, June 22 - July 4, 1986. During the past twenty years, tremendous efforts have been made to acquire quantitative geoscience information from ore deposits, geochemical, geophys ical and remotely-sensed measurements. In October 1981, a two-day symposium on "Quantitative Resource Evaluation" and a three-day workshop on "Interactive Systems for Multivariate Analysis and Image Processing for Resource Evaluation" were held in Ottawa, jointly sponsored by the Geological Survey of Canada, the International Association for Mathematical Geology, and the International Geological Correlation Programme. Thirty scientists from different countries in Europe and North America were invited to form a forum for the discussion of quantitative methods for mineral and energy resource assessment. Since then, not only a multitude of research projects directed toward quantitative analysis in the Earth Sciences, but also recent advances in hardware and software technology, such as high-resolution graphics, data-base management systems and statistical packages on mini and micro-computers, made it possible to study large geoscience data sets. In addition, methods of image analysis have been utilized to capture data in digital form and to supply a variety of tools for charaterizing natural phenomena.
See journals under US Geological survey. Circular 997.
Analytical methods used in the Geologic Division laboratories of the U.S. Geological Survey for the inorganic chemical analysis of rock and mineral samples.
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.
Geochemical Anomaly and Mineral Prospectivity Mapping in GIS documents and explains, in three parts, geochemical anomaly and mineral prospectivity mapping by using a geographic information system (GIS). Part I reviews and couples the concepts of (a) mapping geochemical anomalies and mineral prospectivity and (b) spatial data models, management and operations in a GIS. Part II demonstrates GIS-aided and GIS-based techniques for analysis of robust thresholds in mapping of geochemical anomalies. Part III explains GIS-aided and GIS-based techniques for spatial data analysis and geo-information sybthesis for conceptual and predictive modeling of mineral prospectivity. Because methods of geochemical anomaly mapping and mineral potential mapping are highly specialized yet diverse, the book explains only methods in which GIS plays an important role. The book avoids using language and functional organization of particular commercial GIS software, but explains, where necessary, GIS functionality and spatial data structures appropriate to problems in geochemical anomaly mapping and mineral potential mapping. Because GIS-based methods of spatial data analysis and spatial data integration are quantitative, which can be complicated to non-numerate readers, the book simplifies explanations of mathematical concepts and their applications so that the methods demonstrated would be useful to professional geoscientists, to mineral explorationists and to research students in fields that involve analysis and integration of maps or spatial datasets. The book provides adequate illustrations for more thorough explanation of the various concepts. Explains GIS functionality and spatial data structures appropriate regardless of the particular GIS software in use Simplifies explanation of mathematical concepts and application Illustrated for more thorough explanation of concepts