Comparison of multivariate statistical analysis and traditional techniques as anomaly detection methods in Qare Char, northwest of Iran
نویسندگان
چکیده
Detecting the mineralization component is one of the main subjects in geochemical exploration. Various techniques have been introduced to explore favorite zones and separate the anomaly from background, such as bivariate or multivariate statistical analysis. The main objectives is to identify the spatial variability and main sources of some special elements in Qare Char, in northwest of Iran, by conducting multivariate statistical analyses, including principle component analysis assisted with GIS tools. The analytical results of some rare elements in 1099 lithogeochemical samples taken from the study area have been used to identify the main components of lithological components and separate them from mineralization components. Finally, some favorite zones have been detected and then mapped.
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