Geostatistics for Environmental Scientists

Geostatistics for Environmental Scientists by Richard Webster, published by Wiley on November 12, 2007, is a comprehensive resource spanning 330 pages. This second edition focuses on the essential techniques of geostatistics tailored for environmental scientists, addressing the variability of weather, climate, soil, and pollution distribution. It provides a detailed overview of how these techniques can be effectively utilized to optimize sparse data for predictions and to plan future surveys under resource constraints.
Readers will find an in-depth exploration of advanced geostatistical methods, including stochastic simulation, sampling, data screening, and spatial prediction through kriging. The book thoroughly explains the underlying theory and rationale behind these techniques, enabling readers to understand the assumptions and constraints involved in their application. With a focus on practical implementation, this edition serves as a valuable guide for those engaged in the fields of mathematics, probability, statistics, and stochastic processes within environmental science.
Official synopsis Publisher
Geostatistics is essential for environmental scientists. Weather and climate vary from place to place, soil varies at every scale at which it is examined, and even man-made attributes – such as the distribution of pollution – vary. The techniques used in geostatistics are ideally suited to the needs of environmental scientists, who use them to make the best of sparse data for prediction, and top plan future surveys when resources are limited.
Geostatistical technology has advanced much in the last few years and many of these developments are being incorporated into the practitioner’s repertoire. This second edition describes these techniques for environmental scientists. Topics such as stochastic simulation, sampling, data screening, spatial covariances, the variogram and its modeling, and spatial prediction by kriging are described in rich detail. At each stage the underlying theory is fully explained, and the rationale behind the choices given, allowing the reader to appreciate the assumptions and constraints involved.
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