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TitleFractal pattern integration for mineral potential mapping
AuthorCheng, Q; Agterberg, F P; Bonham-Carter, G F
SourceIAMG '94, 1994 International Association for Mathematical Geology annual conference, papers and extended abstracts for technical programs; by International Association for Mathematical Geology; 1994 p. 74-80, https://doi.org/10.1007/BF02257585
Year1994
Alt SeriesGeological Survey of Canada, Contribution Series 1996304
PublisherSpringer Nature
MeetingAssociation for Mathematical Geologists, Annual Meeting; Mont Tremblant, QC; CA; October 3-5, 1994
Documentbook
Lang.English
Mediapaper; on-line; digital
File formatpdf
ProvinceBritish Columbia
NTS104B/09; 104B/10; 104B/11; 104B/12; 104B/13; 104B/14; 104B/15; 104B/16; 104G
AreaIsjut River
Lat/Long WENS-132.0000 -130.0000 58.0000 56.5000
Subjectsmathematical and computational geology; economic geology; mineral potential; statistical analyses; statistical methods; statistics; mineral exploration statistics; fractal analyses; fractal modelling; fractals
Illustrationsplots
AbstractConcepts of fractal/multifractal dimensions and fractal measure were used to derive the prior and posterior probabilities that a small unit cell on a geological map contains one or more mineral deposits. This has led to a new version of the weights of evidence technique which is proposed for integrating spatial datasets that exhibit nonfractal and fractal patterns to predict mineral potential. The method is demonstrated with a case study of gold mineral potential estimation in the Iskut River area, northwestern British Columbia. Several geological, geophysical, and geochemical patterns (Paleozoic-Mesozoic sedimentary and volcanic clastic rocks; buffer zones around the contacts between sedimentary rocks and Mesozoic intrusive rocks; a linear magnetic anomaly; and geochemical anomalies for Au and associated elements in stream sediments) were integrated with the gold mineral occurrences which have fractal and multifractal properties with a box-counting dimension of 1.335 ± 0.077 and cluster dimension of 1.219 ± 0.037.
GEOSCAN ID208109