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Collection of geostatistical routines for providing source code that serves as a starting point for custom programs, advanced applications, and research.
This monograph on integrated computer systems is one in a series of monographs published by the Expert Systems on Artificial Intelligence Committee of the ASCE Technical Council on Computer Practices. The purpose of the monograph series is to address issues in the use of expert system technology in civil engineering problem solving. Many of the publications and tools available to implement expert systems are generalized environments. The application of these environments is best achieved with an understanding of how others have succeeded or failed in using them to solve problems in the civil engineering domain. ,EM>Expert Systems for Civil Engineers: Integration Issues, broadens the scope of the monograph series from a focus on expert systems to a more general use of Artificial Intelligence (AI) techniques. The scope is also broadened by considering integration of computer programs more generally, rather than only on combining expert systems with other packages. The reason for expanding the scope of the series is to consider the role of AI in civil engineering computer environments rather than being limited to the implementation of expert systems. This follows a general trend in research and practice, to find the right tool for the problem being addressed, rather than to a priori assume an expert system approach. This report specifically describes the technical and pragmatic issues in developing integrated or distributed computer systems in which AI techniques are used and how these issues were resolved in civil engineering research and practice.
These proceedings of the IAMG 2014 conference in New Delhi explore the current state of the art and inform readers about the latest geostatistical and space-based technologies for assessment and management in the contexts of natural resource exploration, environmental pollution, hazards and natural disaster research. The proceedings cover 3D visualization, time-series analysis, environmental geochemistry, numerical solutions in hydrology and hydrogeology, geotechnical engineering, multivariate geostatistics, disaster management, fractal modeling, petroleum exploration, geoinformatics, sedimentary basin analysis, spatiotemporal modeling, digital rock geophysics, advanced mining assessment and glacial studies, and range from the laboratory to integrated field studies. Mathematics plays a key part in the crust, mantle, oceans and atmosphere, creating climates that cause natural disasters, and influencing fundamental aspects of life-supporting systems and many other geological processes affecting Planet Earth. As such, it is essential to understand the synergy between the classical geosciences and mathematics, which can provide the methodological tools needed to tackle complex problems in modern geosciences. The development of science and technology, transforming from a descriptive stage to a more quantitative stage, involves qualitative interpretations such as conceptual models that are complemented by quantification, e.g. numerical models, fast dynamic geologic models, deterministic and stochastic models. Due to the increasing complexity of the problems faced by today’s geoscientists, joint efforts to establish new conceptual and numerical models and develop new paradigms are called for.
This text provides an advanced introduction to the theory and applications of geostatistics, including tools for description, modeling spatial continuity, spatial prediction, assessment of local uncertainty, and stochastic simulation.
Today, many scientists in different disciplines realize the power of graphics, but are also bewildered by the numerous graphics tools. More often than not, they choose the improper software tools and end up with unsatisfactory results. This book introduces and categorizes the most commonly used graphics tools and their applications. The purpose is not to provide an exhausting list of tools and their explicit functions, but rather to provide scientific researchers with different means and application areas in computer graphics, so as to help them efficiently use visualization, modeling, simulation, and virtual reality to complement their research needs. This guide includes coverage of the most widely used commercial software, freeware and open-source software.
The return of the congress to North America after 20 years of absence could not have been in a more ideal location. The beauty of Banff and the many offerings of the Rocky Mountains was the perfect background for a week of interesting and innovative discussions on the past, present and future of geostatistics. The congress was well attended with approximately 200 delegates from 19 countries across six continents. There was a broad spectrum of students and seasoned geostatisticians who shared their knowledge in many areas of study including mining, petroleum, and environmental applications. You will find 119 papers in this two volume set. All papers were presented at the congress and have been peer-reviewed. They are grouped by the different sessions that were held in Banff and are in the order of presentation. These papers provide a permanent record of different theoretical perspectives from the last four years. Not all of these ideas will stand the test of time and practice; however, their originality will endure. The practical applications in these proceedings provide nuggets of wisdom to those struggling to apply geostatistics in the best possible way. Students and practitioners will be digging through these papers for many years to come. Oy Leuangthong Clayton V. Deutsch ACKNOWLEDGMENTS We would like to thank the industry sponsors who contributed generously to the overall success and quality of the congress: De Beers Canada Earth Decision Sciences Maptek Chile Ltda. Mira Geoscience Nexen Inc. Petro-Canada Placer Dome Inc.
The first comprehensive, object-oriented package for the analysis of spatial data. Providing a whole new set of analysis tools, S+SPATIALSTATS was created specifically for the exploration and modelling of spatially correlated data, and, as such, can be used to analyse data in such areas as environmental, mining, and petroleum engineering, natural resources, geography, epidemiology, demography, and others where data is sampled spatially.
This text provides a process oriented discussion of the theory, methodology and philosophy of geologic and mine modelling using two commercial software packages: Techbase, a leader for mineral exploration and modelling bedded deposits; and Lynx, for modelling geology.