2010
DOI: 10.5194/npg-17-319-2010
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Assessing microstructures of pyrrhotites in basalts by multifractal analysis

Abstract: Abstract. Understanding and describing spatial arrangements of mineral particles and determining the mineral distribution structure are important to model the rock-forming process. Geometric properties of individual mineral particles can be estimated from thin sections, and different models have been proposed to quantify the spatial complexity of mineral arrangement. The Gejiu tin-polymetallic oreforming district, located in Yunnan province, southwestern China, is chosen as the study area. The aim of this pape… Show more

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Cited by 25 publications
(15 citation statements)
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“…However, we found another expression between the mass exponent and multifractal dimensions (Vázquez et al, 2008;Ferreiro and Vázquez, 2010;Xie et al, 2010 ) …”
Section: Multifractal Theory and The Algorithmmentioning
confidence: 93%
“…However, we found another expression between the mass exponent and multifractal dimensions (Vázquez et al, 2008;Ferreiro and Vázquez, 2010;Xie et al, 2010 ) …”
Section: Multifractal Theory and The Algorithmmentioning
confidence: 93%
“…To demonstrate and prove that data distribution has a multifractal nature requires a rather extensive computation (Halsey et al, 1986;Evertz and Mandelbrot, 1992). This method has several limitations such as accuracy problems, especially when the boundary effects on irregular geometrical data sets are involved (Agterberg et al, 1996;Goncalves, 2001;Cheng, 2007;Xie et al, 2010).…”
Section: Methodsmentioning
confidence: 99%
“…To demonstrate and prove that data distribution has a multifractal nature, an extensive computation is required (Halsey et al, 1986). This method has several constraints, especially when the boundary effects on irregular geometrical data sets are involved (Agterberg et al, 1996;Goncalves, 2001;Cheng, 2007;Xie et al, 2010). Multifractal modelling in geophysical and geochemical exploration helps to find exploration targets and mineralization potentials in dif- ferent types of deposits (Yao and Cheng, 2011).…”
Section: Application Of C-a Modelling On the Rtp-mamentioning
confidence: 99%