Espaciamiento óptimo de sondajes de control de leyes usando simulación condicional (EN INGLÉS)
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BERTOLI, O.; PAUL, A.; CASLEY, Z. & DUNN, D. 2013: Geostatistical drillhole spacing analysis for coal resource classification in the Bowen Basin, Queensland. International Journal of Coal Geology 112: 107–113.
BOUCHER, A.; DIMITRAKOPOULOS, R. & VARGAS-GUZMÁN, J. A. 2005: Joint Simulations, Optimal Drillhole Spacing and the Role of the Stockpile. In: Geostatistics Banff 2004 [online]. Dordrecht: Springer Netherlands. p. 35–44. [Accessed 16 November 2016].
CHILÈS, J. P. & DELFINER, P. 2009: Geostatistics: Modeling Spatial Uncertainty [online]. Wiley. Wiley Series in Probability and Statistics.
GORIA, S.; GALLI, A. & ARMSTRONG, M. 2001: Quantifying the impact of additional drilling on an openpit gold project. In: 2001 annual conference of the International Association for Mathematical Geology. Cancun, Mexico.
JOURNEL, A. G. & KYRIAKIDIS, P. C. 2004: Evaluation of Mineral Reserves: A Simulation Approach. Oxford University Press. Applied Geostatistics.
LARRONDO, P. 2003: Entropy of Gaussian Random Functions and Consequences in Geostatistics [online]. Department of Civil & Environmental Engineering University of Alberta. CCG Annual Report. Available in: http://www.ccgalberta.com/ccgresources/report05/2003-129-entropy.pdf
MARTÍNEZ-VARGAS, A. 2016: PyGSLIB [online]. Python 2.7 package. Opengeostat Consulting. Available in: https://github.com/opengeostat/pygslib
VERLY, G.; POSTOLSKI, T. & PARKER, H. M. 2014: Assessing Uncertainty with Drill Hole Spacing Studies–Applications to Mineral Resources. In: Orebody Modelling and Strategic Mine Planning Symposium 2014. Australasian Institute of Mining and Metallurgy. Perth, Australia, 24-26 November.
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