Spatial and multivariate analysis of geochemical data from metavolcanic rocks in the Ben Nevis area, Ontario

Application of singularity mapping technique to identify local anomalies using stream sediment geochemical data, a case study from Gangdese, Tibet, western China

“…These methods can be regarded as non-spatial statistical tools ignoring the spatial information and spatial autocorrelation structure of the geochemical data. Spatial statistical methods such as moving average technique, kriging and spatial factor analysis (Grunsky and Agterberg, 1988) can take into account spatial correlation and variability within neighboring samples in addition to concentration value frequency distributions and correlation coefficients. These methods may be effective in solving some problems but are of limited use in situations where there is extensive overlap between background and anomalous values, or where weak anomalous values are hidden within the strong variance of background (Cheng, 2007).…”

Separation of a geochemical anomaly from background by fractal and U-statistic methods, a case study: Khooni district, Central Iran

“…This mentioned point is very important for explaining anomalies (Hassani Pak and Sharafeddin, 2005). Non-structural methods are useful for solving some problems and considering both distribution and content and the spatial location of the samples such as U-statistics, kriging (Grunsky and Agterberg, 1988) and fractal methods as the concentration-area fractal model (Cheng et al, 1994). Cheng (1999) has first presented the U-statistics method.…”

Multifractal analysis of geochemical stream sediment data in Bange region, northern Tibet

“…Exploration geologists often need to separate anomalies associated with mineralization from background reflecting regional geological processes. Various quantitative methods have been developed to model the distribution patterns of geochemical elements, and among them, the conventional and spatial statistical methods have played important roles Sinclair, 1991;Stanley and Sinclair, 1989;Grunsky and Agterberg, 1988;Stanley, 1988). In addition to frequency distributions and spatial correlation and variability of concentration values, geometrical properties and scale-independent characteristics of anomalies can be considered in fractal/multifractal methods (Cheng et al, 1997(Cheng et al, , 1994.…”