Regional probabilistic and statistical mineral potential mapping of gold-silver deposits using GIS in the Gangreung Area, Korea

Resource Geology

Volumn 58, Issue 2, 2008, Pages 171-187

  Oh, Hyun Joo ^a   Lee, Saro ^b  

^a Yonsei University   (South Korea)

^b Korea Institute of Geosceince and Mineral Resources   (South Korea)

Author keywords

Au Ag; GIS; Korea; Likelihood ratio; Logistic regression; Mineral potential mapping; Weights of evidence

Indexed keywords

GIS; GOLD; HYDROTHERMAL DEPOSIT; LITHOLOGY; MAXIMUM LIKELIHOOD ANALYSIS; MINERAL DEPOSIT; MINERAL RESOURCE; MINERALIZATION; PROBABILITY; SILVER; TOPOGRAPHY;

KOREA;

EID: 43149113689     PISSN: 13441698     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1751-3928.2008.00050.x     Document Type: Article

References (31)

1. Agterberg, F. P. (1988) Application of recent developments of regression analysis in regional mineral resource evaluation. In Chung, C. F., Fabbri, A. G. and Sinding‐Larsen, R. (eds.) Quantitative analysis of mineral and energy resources. D. Reidel Publishing, Dordrecht, 1–28.
2. Agterberg, F. P., Bonham‐Carter, G. F. and Wright, D. F. (1990) Statistical pattern integration for mineral exploration. In Gaal, G. and Merriam, D. F. (eds.) Computer applications in resource estimation prediction and assessment for metals and petroleum. Pergamon Press, Oxford, 1–21.
3. An, P. and Moon, W. M. (1993) Evidential reasoning structure for integrating geophysical, geological and remote sensing data. In Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, Tokyo, 2141–2144.
4. An, P., Moon, W. M. and Rencz, A. N. (1991) Application of fuzzy set theory to integrated mineral exploration. Can. J. Explor. Geophys., 27, 1–11.
5. Atkinson, P. M. and Massari, R. (1998) Generalized linear modeling of susceptibility to landsliding in the central Apennines, Italy. Comput. Geosci., 24, 373–385.
6. Bonham‐Carter, G. F. (1994) Geographic information systems for geoscientists: Modeling with GIS. Computer methods in the geosciences 13. Pergamon Press, New York, 398p.
7. Bonham‐Carter, G. F., Agterberg, F. P. and Wright, D. F. (1988) Integration of geological datasets for gold exploration in Nova Scotia. Photogramm. Eng. Remote Sens., 54, 1585–1592.
8. Bonham‐Carter, G. F., Agterberg, F. P. and Wright, D. F. (1989) Weights of evidence modeling: A new approach to mapping mineral potential. In Agterberg, F. P. and Bonham‐Carter, G. F. (eds.) Statistical applications in the earth sciences. Geol. Surv. Canada, 98, 171–183.
9. Brown, W. M., Gedeon, T. D., Groves, D. I. and Barnes, R. G. (2000) Artificial neural networks: A new method for mineral prospectively mapping. Aust. J. Earth Sci., 47, 757–770.
10. Carranza, E. J. M. (2004) Weights of evidence modeling of mineral potential: A case study using small number of prospects, Abra, Philippines. Nat. Resour. Res., 13, 173–187.
11. Carranza, E. J. M. and Hale, M. (2002) Spatial association of mineral occurrences and curvilinear geological features. Math. Geol., 34, 203–221.
12. Chen, Y. L. (2003) Indicator pattern combination for mineral resource potential mapping with the general C‐F model. Math. Geol., 35, 301–321.
13. Chi, K. H., Lee, J. S., Jin, M. S., Chi, S. J. and Park, S. H. (2001) Construction of GIS based geological database of South Korea Area. Ministry of Science & Technology, Gwacheon, 174p.
14. Chung, C. F. and Agterberg, F. P. (1980) Regression models for estimating mineral resources from geological map data. Math. Geol., 12, 473–488.
15. Chung, C. F. and Agterberg, F. P. (1988) Poisson regression analysis and its application. In Chung, C. F., Fabbri, A. G. and Sinding‐Larsen, R. (eds.) Quantitative analysis of mineral and energy resources. D. Reidel Publishing, Dordrecht, 29–36.
16. D’Ercole, C., Groves, D. I. and Knox‐Robinson, C. M. (2000) Using fuzzy logic in a Geographic Information System environment to enhance conceptually based prospectively analysis of Mississippi Valley‐type mineralization. Aust. J. Earth Sci., 47, 913–927.
17. Kang, P. J., Shin, S. C. and Jin, M. S. (1995) Isotope age map of ore deposits in Korea. Korean Institute of Geoscience and Mineral Resources, Daejeon, 4p.
18. Kim, J. C., Koh, H. J., Lee, S. R., Lee, C. B., Choi, S. J. and Park, K. H. (2001) Explanatory note the Gangreung‐Sokcho Sheet. Korean Institute of Geoscience and Mineral Resources, Daejeon, 76p.
19. Knox‐Robinson, C. M. (2000) Vectorial fuzzy logic: A novel technique for enhanced mineral prospectivity mapping, with reference to the orogenic gold mineralization potential of the Kalgoorlie Terrane, Western Australia. Aust. J. Earth Sci., 47, 929–941.
20. Koh, S. M., Kom, S. Y., Lee, D. J., Kim, D. O., Lee, H. Y., Kim, Y. U., Yoo, J. H., Kim, Y. I., Ryoo, C. R. and Song, M. S. (2003) Construction of the data‐base and assessment of domestic mineral resources III (Area of 1:250,000 Seoul and Gangreung Geological Sheets). Ministry of Commerce, Industry and Energy, Gwacheon, 84p.
21. Koo, S. B., Cho, J. D., Lee, T. S., Park, Y. S., Lim, M. T., Choi, J. H., Sung, N. H., Hwang, H. S. and Koh, I. S. (2001) Regional geophysical exploration. Ministry of Commerce, Industry and Energy, Gwacheon, 70p.
22. Lee, S. and Dan, N. T. (2005) Probabilistic landslide susceptibility mapping in the Lai Chau province of Vietnam: Focus on the relationship between tectonic fractures and landslides. Environ. Geol., 48, 778–787.
23. Lee, J. S., Seo, H. J. and Hwnag, I. H. (1998) Regional geochemical mapping of the Kangneung Sheet (1:250,000). Korea Institute of Geology, Mining & Materials, Daejeon, 147p.
24. Moon, W. M. (1990) Integration of geophysical and geological data using evidence theory function. IEEE Trans. Geosci. Remote Sens., 28, 711–720.
25. Moon, W. M. (1993) On mathematical representation and integration of multiple spatial geoscience data sets. Can. J. Remote Sens., 19, 63–67.
26. Moon, W. M. and So, C. S. (1995) Information representation and integration of multiple sets of spatial geoscience data. In Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, Florence, Italy, 2141–2144.
27. Pan, G. C. (1996) Extended weights of evidence modeling for the pseudo‐estimation of metalgrades. Nonrenew. Resour., 5, 53–76.
28. Rencz, A. N., Harris, J. R., Watson, G. P. and Murphy, B. (1994) Data integration for mineral exploration in the Antigonish Highlands, Nova Scotia: Application of GIS and remote sensing. Can. J. Remote Sens., 20, 257–267.
29. Singer, D. A. and Kouda, R. (1996) Application of a feed forward neural network in the search for Kuroko deposits in the Hokuroku District, Japan. Math. Geol., 28, 1017–1023.
30. Tangestani, M. H. and Moore, F. (2001) Porphyry copper potential mapping using the weights‐of‐evidence model in a GIS, northern Shahr‐e‐Babak, Iran. Aust. J. Earth Sci., 48, 913–927.
31. Xu, S., Cui, Z. K., Yang, X. L. and Wang, G. J. (1992) A preliminary application of weights of evidence in gold exploration in Xionger mountain region, Henan province. Math. Geol., 24, 663–674.