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Автор(ы):Welhan J.
Издание:Idaho Geological Survey, 2004 г., 48 стр.
Язык(и)Английский
Geostatistics and spatial modeling. Lecture notes / Геостатистика и пространственное моделирование. Лекционные заметки

An introduction to the description, analysis, and modeling of geospatial data and of the resulting uncertainty in the models. Theory and its correct application will be integrated with the use of various software tools (including GIS) and appropriate examples to emphasize the crossdisciplinary applicability of geostatistical analysis and modeling.

Автор(ы):Dyar M.D., McKillup S.
Издание:Cambridge University Press, 2010 г., 413 стр., ISBN: 978-0-511-67730-4
Язык(и)Английский
Geostatistics explained. An introductory guide for Earth scientists / Объяснение геостатистики. Вводное руководство для наук о Земле

This reader-friendly introduction to geostatistics provides a lifeline for students and researchers across the Earth and environmental sciences who until now have struggled with statistics. Using simple and clear explanations for both introductory and advanced material, it demystifies complex concepts and makes formulas and statistical tests easy to understand and apply.

Редактор(ы):Cromer M.V., Desbarats A.J., Johnson A.I., Rouhani S., Srivastava R.M.
Издание:ASTM, 1996 г., 287 стр., ISBN: 0-8031-2414-7
Язык(и)Английский
Geostatistics for environmental and geotechnical applications / Геостатистика для экологических и геотехнических исследований

1. Geostatistics for Environmental and Geotechnical Applications: A Technology Transferred

2. Describing Spatial Variability Using Geostatistical Analysis

3. Geostatistical Estimation: Kriging

4. Modeling Spatial Variability Using Geostatistical Simulation-

5. Geostatistical Site Characterization of Hydraulic Head and Uranium Concentration in Groundwater

6. Integrating Geophysical Data for Mapping the Contamination of Industrial Sites by Polycyclic Aromatic Hydrocarbons: A Geostatistical Approach

7. Effective Use of Field Screening Techniques in Environmental Investigations: A Multivariate Geostatistical Approach

Редактор(ы):David M., Journel A.G., Marechal A., Verly G.
Издание:D.Reidel publishing company, 1983 г., 585 стр., ISBN: 978-94-010-8157-3
Язык(и)Английский
Geostatistics for natural resources characterization / Геостатистика для определения характеристик природных ресурсов

Since October 1975 and the first NATO ASl "Geostat - Roma 1975", there has not been an advanced workshop on geostatistics where experts from throughout the world could meet, teach and debate without the pressure of an ordinary professional conference. This second NATO ASI "Geostat - Tahoe 1983" was intended as a high-level teaching activity yet opened to all new ideas and contributions to the discipline of geostatistics. It was expected that the institute would bridge the gap since "Geostat - Roma 1975" and establish the state of the art of the discipline as of 1983 <...>

Автор(ы):Goovaerts P.
Издание:Oxford university press, 1997 г., 496 стр., ISBN: 0-19-511538-4
Язык(и)Английский
Geostatistics for natural resources evaluation / Геостатистика для оценки природных ресурсов

Earth sciences data are typically distributed in space and/or in time. Knowledge of an attribute value, say, a mineral grade or a pollutant concentration, is thus of little interest unless location and/or time of measurement are known and accounted for in the data analysis. Geostatistics provides a set of statistical tools for incorporating the spatial and temporal coordinates of observations in data processing.

Автор(ы):Emery X., Seguret S.A.
Издание:CRC Press, 2021 г., 272 стр., ISBN: 978-0-367-50575-2
Язык(и)Английский
Geostatistics for the mining industry (applications to porphyry copper deposits) / Геостатистика для горнодобывающей промышленности (применительно для медно-порфировых месторождений)

The organization of this book follows the typical mining sequence that starts with the exploration phase aimed at delineating the mineral deposit and detailing its geology.

Geological objects can be singular, like the inverted cone-shaped diatreme of the El Teniente copper mine; more generally, they can be domains with given lithological, mineralogical, structural or alteration properties, which will be designated throughout this book under the name of ‘facies’, commonly used in geosciences. Within each facies, the metal grades have their own distribution and variability. This peculiarity will lead directly to the prediction or simulation of the grades (quantitative variables) taking into account the statistical and spatial characteristics of each facies (categorical variable).

We emphasize these four terms, which will be found throughout this book: prediction, simulation, quantitative variable and categorical variable <...>

Издание:1999 г., 198 стр.
Язык(и)Английский
Geostatistics in 12 Lessons / Геостатистика в 12 занятиях

This web page is a set of companion notes to accompany the twelve lectures presented in the summer of 1999 For Landmark Graphics in Austin Texas. The lectures are intended to be an informal training seminar for those employees involved in the development, documentation, and testing of software that implement geostatistics.
 

Автор(ы):Burnett M., Nwaila G., Tolmay L.
Издание:CRC Press, 2025 г., 304 стр., ISBN: 978‑1‑032‑59926‑7
Язык(и)Английский
Geostatistics notes for practitioners / Заметки по геостатистике для практиков

The wealth of mineral resources that lies beneath the Earth’s surface drives techno‑logical advancements and underpins our economic prosperity. This comprehensive book presents the methods and processes of mineral resource estimation at each step along the mining value chain and provides a necessary framework for understanding mineral development and exploitation. The complexities associated with mineral resource estimation are addressed by explaining the importance of reliable methodologies and the consideration of uncertainty in decision‑making.

Автор(ы):Bassani M.A.A., Costa J.F.C.L.
Редактор(ы):Bergmann C.P.
Издание:Springer, 2022 г., 83 стр., ISBN: 978-3-030-80192-2
Язык(и)Английский
Geostatistics with data of different support applied to mining engineering / Геостатистика с различными вспомогательными данными, применяемыми в горном деле

Geostatistical techniques are extensively used for mineral resources assessment, including grade estimation and uncertainty analysis. Support is the term used in Geostatistics to describe the size or volume of a sample. For example, suppose a grade sample obtained from diamond drill holes (DDH). In this case, the support is a function of the core’s radius and length.

Автор(ы):Babish G.
Язык(и)Английский
Geostatistics without tears. A practical guide to surface interpolation, geostatistics, variograms and kriging / Геостатистика без слез. Практическое руководство по интерполяции поверхности, геостатистике, вариограммам и кригингу

Geostatistics (also known as kriging) was developed for the mining industry during the 1960s and 1970s to estimate changes in ore grade. The principles of geostatistics are now applied to many applications that require statistically based interpolation techniques. Geostatistics provides a data value estimate for locations that cannot be sampled directly by examining data taken at locations that can be sampled.

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