Abstract
Knowledge of ore grades and ore reserves as well as error estimation of these values, is fundamental for mining engineers and mining geologists. Until now no appropriate scientific approach to those estimation problems has existed: geostatistics, the principles of which are summarized in this paper, constitutes a new science leading to such an approach. The author criticizes classical statistical methods still in use, and shows some of the main results given by geostatistics. Any ore deposit evaluation as well as proper decision of starting mining operations should be preceded by a geostatistical investigation which may avoid economic failures.
Keywords
GeostatisticsEstimationGeologyMining engineeringData scienceManagement scienceData miningComputer scienceStatisticsMathematicsEngineeringSystems engineeringSpatial variability
Related Publications
Geostatistics
Abstract Most data have a space and time label associated with them; data that are close together are usually more correlated than those that are far apart. Prediction (or forec...
Perspectives on the international relations of food
The international system of production, distribution and consumption of food is managed by states, corporations and international organizations. International organizations play...
Some Aspects of the Spline Smoothing Approach to Non-Parametric Regression Curve Fitting
SUMMARY Non-parametric regression using cubic splines is an attractive, flexible and widely-applicable approach to curve estimation. Although the basic idea was formulated many ...
Homogeneously Catalyzed Electroreduction of Carbon Dioxide—Methods, Mechanisms, and Catalysts
The utilization of CO<sub>2</sub> via electrochemical reduction constitutes a promising approach toward production of value-added chemicals or fuels using intermittent renewable...
Statistical Significance of Clustering for High-Dimension, Low–Sample Size Data
AbstractClustering methods provide a powerful tool for the exploratory analysis of high-dimension, low–sample size (HDLSS) data sets, such as gene expression microarray data. A ...
Publication Info
- Year
- 1963
- Type
- article
- Volume
- 58
- Issue
- 8
- Pages
- 1246-1266
- Citations
- 4651
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
4651
OpenAlex
Cite This
G. Matheron
(1963).
Principles of geostatistics.
Economic Geology
, 58
(8)
, 1246-1266.
https://doi.org/10.2113/gsecongeo.58.8.1246
Identifiers
- DOI
- 10.2113/gsecongeo.58.8.1246