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Praise for the First Edition ". . . a readable, comprehensive volume that . . . belongs on the desk, close at hand, of any serious researcher or practitioner." Mathematical Geosciences The state of the art in geostatistics Geostatistical models and techniques such as kriging and stochastic multi-realizations exploit spatial correlations to evaluate natural resources, help optimize their development, and address environmental issues related to air and water quality, soil pollution, and forestry. Geostatistics: Modeling Spatial Uncertainty, Second Edition presents a comprehensive, up-to-date reference on the topic, now featuring the latest developments in the field. The authors explain both th...
Papers presented at the 7th in a series of interdisciplinary conferences on safety and security engineering are contained in this book. The papers include the work of engineers, scientists, field researchers, managers and other specialists involved in one or more of the theoretical and practical aspects of safety and security. Safety and Security Engineering, due to its special nature, is an interdisciplinary area of research and application that brings together in a systematic way, many disciplines of engineering, from the traditional to the most technologically advanced. This volume covers topics such as crisis management, security engineering, natural and man-made disasters and emergencie...
This is one of the first books to take an ecological perspective on uncertainty in spatial data. It applies principles and techniques from geography and other disciplines to ecological research, and thus delivers the tools of cartography, cognition, spatial statistics, remote sensing and computer sciences by way of spatial data. After describing the uses of such data in ecological research, the authors discuss how to account for the effects of uncertainty in various methods of analysis.
This book constitutes papers presented during the workshop session titled “CyberSec4Europe - Research to Innovation: Common Research Framework on Security and Privacy” during the Privacy Symposium hosted by Università Ca’ Foscari in Venice, Italy, in April 2022. The 11 peer-reviewed selected papers present findings, conclusions, research, and recommendations in various security-related areas, from highly technical ones (e.g., software and network security) to law and human-centric ones (e.g., governance and cybersecurity awareness).
Covers receipts and expenditures of appropriations and other funds.
Geological processes affect the earth itself and human society. Solutions to geological problems, whether natural or man-made, demand close international collaboration. This book presents new approaches to current problems of environmental assessment, demonstrates the interactions between those involved in addressing global problems, and represents a means for the education of others. The book focuses on four major themes: geoenvironmental models, GIS methods and techniques, assessment and resource management, and resource policies and sustainable development. The major topics falling under each theme are introduced, followed by discussions of specific applications. Reports of the discussions of working groups are also presented to round out the individual contributions. The disciplines represented include geology, geophysics, geochemistry, remote sensing, economics, biology, mining engineering, resource analysis, mathematics and statistics.
Geostatistics is a branch of mathematics that deals with the sampling, analysis, interpretation and display of phenomena that fluctuate in space. Although not all geostatistical methods are probabilistic in nature, the most important accomplishments in the field have been in estimation and forecasting, extending probabilistic methods of stochastic processes and time series analysis to the spatial domain. This book gives the only available comprehensive collection of definitions of geostatistical terms. It lists more than 600 entries selected from the book and journal literature through the end of 1989. Where appropriate, multiple meanings have been included for specific terms. Cross-referenc...
The International Conference on Linear Statistical Inference LINSTAT'93 was held in Poznan, Poland, from May 31 to June 4, 1993. The purpose of the confer ence was to enable scientists, from various countries, engaged in the diverse areas of statistical sciences and practice to meet together and exchange views and re sults related to the current research on linear statistical inference in its broadest sense. Thus, the conference programme included sessions on estimation, prediction and testing in linear models, on robustness of some relevant statistical methods, on estimation of variance components appearing in linear models, on certain gen eralizations to nonlinear models, on design and ana...
This book serves well as an introduction into the more theoretical aspects of the use of spline models. It develops a theory and practice for the estimation of functions from noisy data on functionals. The simplest example is the estimation of a smooth curve, given noisy observations on a finite number of its values. The estimate is a polynomial smoothing spline. By placing this smoothing problem in the setting of reproducing kernel Hilbert spaces, a theory is developed which includes univariate smoothing splines, thin plate splines in d dimensions, splines on the sphere, additive splines, and interaction splines in a single framework. A straightforward generalization allows the theory to en...