Techniques for analysis and visualization of lithogeochemical data with applications to the Swayze greenstone belt, Ontario

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

“…In the past decades, geochemical anomalies have been identified by means of various methods (Harris et al, 1999(Harris et al, , 2000. Statistical analysis methods play an important role in separating anomalous values from background values.…”

Lithological discrimination based on statistical analysis of multi-sensor drill core logging data in the Matagami VMS district, Quebec, Canada

“…Multivariate statistical approaches provide robust and quantitative algorithms for data classification and statistical modeling. The approach used here is cluster analysis, which permits the interpretation and the recognition of patterns and groups inside large datasets (e.g., Delfiner et al, 1987;Harris et al, 1999;Maerz and Zhou, 1999;Bosch et al, 2002).…”

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

“…The anomaly separation methods of the background can be divided into two groups, which include structural (based on data spatial distribution) and non-structural methods (based on spatial structure of data) (Hassani Pak and Sharafeddin, 2005). In the past decades, some methods were often used for separation of geochemical anomalies of the background (Harris et al, 1999(Harris et al, , 2000. Statistical analysis methods play an important role in separating anomalies from background values.…”