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- (PDF) IDENTIFYING GEOCHEMICAL ANOMALIES - ResearchGate
Statistical methods have been widely applied to interpret geochemical data sets and define anomalies Such methods need to be used cautiously because of the particular characteristics of
- IDENTIFYING GEOCHEMICAL ANOMALIES - CRC LEME
Univariate statistical methods for investigating geochemical data Univariate statistical methods (i e involving observations with only one variable) can be used to organise and extract information from a data set of values for a single element (e g gold analyses for a group of samples)
- Uncertainty Quantification in Geochemical Mapping: A Review . . .
Our review distinguishes between two main uncertainties, systemic and stochastic, and identifies their key sources in geochemical mapping We also explore techniques for uncertainty quantification, communication, visualization, and sensitivity analysis
- The Geochemical Anomaly: Distinguishing Between True and . . .
Several statistical methods for defining anomalous populations can be used and may include the following: weights of evidence (Bonham-Carter, 1994) The weights of evidence method requires a priori knowledge (i e , knowl-edge of existing mineral occurrences) while the other methods do not require pre-existing knowledge
- Rotation-based outlier detection for geochemical anomaly . . .
This research explores the use of the rotation-based outlier detection (ROD) method for identifying geochemical anomalies in a multivariate stream sediment dataset from Iran, targeting porphyry and vein-type Cu mineralization
- ASDPS-based Geochemical Data Processing and Anomaly . . .
statistical method is proposed to determine the likely ‘best’ outcome among many smoothed datasets, and then this ‘best’ fitted dataset is used to determine anomalies in reference to different geochemical benchmarks
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