Geostatistics for Natural Resources Evaluation

Geostatistics for Natural Resources Evaluation
Author: Pierre Goovaerts
Publisher: Oxford University Press, USA
Total Pages: 502
Release: 1997
Genre: Mathematics
ISBN: 9780195115383

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.

Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment

Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment
Author: N. Janardhana Raju
Publisher: Springer
Total Pages: 900
Release: 2015-11-30
Genre: Science
ISBN: 3319186639

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.

Geostatistics for Environmental Scientists

Geostatistics for Environmental Scientists
Author: Richard Webster
Publisher: John Wiley & Sons
Total Pages: 330
Release: 2007-10-22
Genre: Mathematics
ISBN: 9780470517260

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.

Geostatistics Wollongong &96. 1 (1997)

Geostatistics Wollongong &96. 1 (1997)
Author: Ernest Y. Baafi
Publisher: Springer Science & Business Media
Total Pages: 792
Release: 1997
Genre: Science
ISBN: 9780792344940

The papers in this volume provide a comprehensive account of the current methods and work in geostatistics, including recent theoretical developments and applications. Topics featured include: stochastic simulations, space-time modelling, and Bayesian framework.