作者: Jian Wang , Renguang Zuo
DOI: 10.3390/MIN10020183
关键词: Kurtosis 、 Hierarchical clustering 、 Multifractal system 、 Mineral exploration 、 Spatial analysis 、 Soil science 、 Spatial distribution 、 Variogram 、 Cluster analysis 、 Geology
摘要: The distribution of geochemical elements in the surficial media is end product dispersion under complex geological conditions. This study explored frequency and spatial characteristics their associations. It quantifies via mean, variance, skewness kurtosis, followed by measuring (i.e., autocorrelation, heterogeneity self-similarity) semivariogram, q-statistic multifractal spectrum, further identify elemental associations based on these parameters using hierarchical clustering. A criterion was defined to importance clustering procedure. case processing a dataset stream sediment samples collected southwestern Fujian province China carried out illustrate validate results indicate that studies can enhance knowledge dispersions. identified are different from those obtained conventional cluster analysis. Spatial cannot be neglected when investigating patterns findings area might benefit following-up mineral exploration.