Map scale effects on estimating the number of undiscovered mineral deposits

Progress in Geomathematics

Volumn , Issue , 2008, Pages 271-283

  Singer, Donald A ^a   Menzie, W David ^b  

^a U S GEOLOGICAL SURVEY   (United States)

^b U S GEOLOGICAL SURVEY   (United States)

Author keywords

mapping benefits; mineral deposit density; Mineral resource assessments; zero inflated Poisson

Indexed keywords

EID: 84855682279     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-3-540-69496-0_12     Document Type: Chapter

References (17)

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4. Bliss JD, Menzie, WD (1993) Spatial mineral-deposit models and the prediction of undiscovered mineral deposits. In: Kirkham RV, Sinclair WD, Thorpe RI, Duke JM (eds) Mineral deposit modeling: Geological Association Canada Special Paper 40, pp 693-706
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10. Puig P, Valero J (2006) Count data distributions-some characterizations with applications. J Am Stat Assoc 101(473):332-340
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15. Singer DA, Berger VI, Menzie WD, Berger BB (2005) Porphyry copper density. Econ Geol 100(3):491-514
16. Singer DA, Menzie WD (2005) Statistical guides to estimating the number of undiscovered mineral deposits: an example with porphyry copper deposits. In: Cheng Q, Bonham-Carter G (eds) Proceedings of IAMG-the annual conference of the international association for mathematical geology, Geomatics Research Laboratory, York University, Toronto, Canada, pp 1028-1033
17. Singer DA, Menzie WD, Sutphin D, Mosier DL, Bliss JD (2001) Mineral deposit density-an update. In: Schulz KJ (ed) Contributions to global mineral resource assessment research. US Geological Survey Professional Paper 1640-A, A1-A13. (Also available online at http://pubs.usgs.gov/prof/p1640a/)