Resources Available for Download

Publications

Field Parametric Geostatistics (2001)
Miguel Armony
International Journal of Surface Mining, Reclamation and Environment, Volume 15, Number 2, June 2001 , pp. 100-122(23)
Publisher: Taylor and Francis Ltd.
http://www.tandfonline.com/doi/abs/10.1076/ijsm.15.2.100.3420

Logical basis of Field Parametric Geostatistics (2005)
Miguel Armony
International Journal of Surface Mining, Reclamation and Environment, Volume 19, Number 2, June 2005 , pp. 144-157(14)
Publisher: Taylor and Francis Ltd
http://www.tandfonline.com/doi/abs/10.1080/13895260500068631

FPG – Geostatistical rigorous solutions for highly-skewed distributions (2011)
Miguel Armony, Rochana S. Machado, João Felipe Coimbra Leite Costa and Jair Koppe
Proceedings of the 2nd International Seminar on Geology for the Mining Industry (Geomin 2011), pp. 50-51
Editors: Julio Beniscelli, Romke Kuyvenhoven, Karin Olson Hoal
(please see presentation for download above)

Field Parametric Geostatistics – Geostatistical Rigorous Solutions Dealing with Extreme Grades During Resource Estimation (2011)
Miguel Armony, Rochana S. Machado, João Felipe Coimbra Leite Costa and Jair Koppe
35th APCOM Simposium 2011, Wollongong. Proceedings of the 35th APCOM Simposium, 2011, Wollongong. Sydney: The australasian institute of mining and metallurgy, 2011. v. 1. pp. 1-12.
http://www.ausimm.com.au/publications/epublication.aspx?ID=12965

Field Parametric Geostatistics – A Rigorous Theory to Solve Problems of Highly Skewed Distributions (2012)
Miguel Armony, Rochana S. Machado and João Felipe Coimbra Leite Costa
Geostatistics Oslo 2012 – Quantitative Geology and Geostatistics, 2012, Volume 17, Part 3, 383-395, DOI: 10.1007/978-94-007-4153-9_31
http://www.springerlink.com/content/n56657p8124j4880/

References

  • Armony, M, 2000. Geoestatística paramétrica de campo, PhD thesis (unpublished), Federal University of Rio de Janeiro, Rio de Janeiro.
  • Armony, M, 2001. Field parametric geostatistics, International Journal of Surface Mining, 15(2):100-122.
  • Armony, M, 2005. Logical basis for field parametric geostatistics, International Journal of Surface Mining, 19(2):144-157.
  • Costa, J F C L, 2003. Reducing the impact of outliers in ore reserves estimation, Mathematical Geology, 35(3):323-345.
  • David, M, 1977. Geostatistical Ore Reserve Estimation, Chapter 6 (Elsevier)
  • Deutsch, C V and Journel, A G, 1998.GSLIB: Geostatistical Software Library and User’s Guide, 369 p (Oxford University Press: New York).
  • Glacken, I M and Blackney, P A, 1998. A practitioners implementation of indicator kriging, in Proceedings of a one day symposium: Beyond Ordinary Kriging – Non-Linear Geostatistical Methods in Practice, pp 26-39 (Geostatistical Association of Australasia: Perth).
  • Isaaks, E H and Srivastava, R M, 1989. An introduction to applied geostatistics,547 p (Oxford University Press: New York).
  • Journel, A G, 1982. The indicator approach to estimation of spatial distributions, in Proceedings of 17th APCOM, pp 793–806 (Society of Mining Engineering: Golden).
  • Machado, R S, Armony, M, Costa, J F C L and Koppe, J C, 2011. FPG – Geostatistical rigorous solutions for highly-skewed distributions, Proceedings of GEOMIN 2011.
  • Matheron, G F, 1963. Principles of geostatistics, Economic Geology, 58:1246-1266.
  • Sinclair, A J and Blackwell, G H, 2004. Applied Mineral Inventory Estimation, 381 p (Cambridge University Press: Cambridge).
  • Schwartz,  L, 1957. Théorie des Distributions ( Hermann, Paris).