Multifractal analysis of geochemical anomalies: A tool for assessing prospectivity at the SE border of the Ossa Morena Zone, Variscan Massif (Spain)

Spatial pattern and dynamic control for mineralization in the Pulang porphyry copper deposit, Yunnan, SW China: Perspective from fractal analysis

“…From the dynamic viewpoint, the D 2 indicates the complexity of controls underpinning the spatial pattern (Yılmaz and Güler, 2010). A positive Δf(α) suggests that the spectrum is right-hooked, and there are more small values than large ones; otherwise, the dataset has more large values (Arias et al, 2012;Deng et al, 2011;Wang et al, 2011b).…”

A batch sliding window method for local singularity mapping and its application for geochemical anomaly identification

“…Since the SW method based singularity mapping technique was proposed, it has been successfully proved to be a powerful tool for mineralization associated geochemical anomaly identification (e.g. Cheng, 2004Cheng, , 2007Cheng, , 2012Cheng, , 2014Chen et al, 2007;Cheng et al, 2009aCheng et al, , 2009bCheng and Agterberg, 2009;Arias et al, 2012;Zuo and Cheng, 2008;Zuo et al, 2009Xiao et al, 2012Xiao et al, , 2014 and applied in a wide range of other geo-information anomaly recongnization associated fields such as geophysical exploration Wang et al, 2013a), remote sensing (Cheng, 1999a;Neta et al, 2010), and tectonics data modeling (Wang et al, , 2013bZhao et al, 2014). However, on the one hand, the maximum window size in the SW approach, i.e.…”

Identification of mineralized zones in the Zardu area, Kushk SEDEX deposit (Central Iran), based on geological and multifractal modeling

“…Examples of fractal models include the number-size (N-S) model proposed by Mandelbrot [14], the concentration-area (C-A) model of Cheng et al [16], the concentration-perimeter (C-P) model of Cheng et al [17], the concentration-distance (C-D) model proposed by Li et al [18], and the concentrationvolume (C-V) model of Afzal et al [19]. Fractal/multifractal modeling assists in identifying relationships between geological, geochemical, and mineralogical settings and linking them to spatial information obtained from mineral deposits [19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35]. Various geochemical and mineralization processes can be defined due to differences in fractal dimensions, based on analysis of relevant geochemical data.…”