66
ACKNOWLEDGEMENTS
The authors would like to thank Christianne Mariz for her technical contributions, and William Finnerty, Ana Paula Chiquini and Dhaniel Carvalho for their valuable comments and
suggestions to improve the quality of the paper.
REFERENCES
Armstrong, M., Ndiaye, A., Razanatsimba, R., Galli, A. (2013). Scenario Reduction Applied to Geostatistical Simulations. In: Mathematical Geosciences, February 2013, vol. 45, Issue 2, pp. 165–182.
Audet, M. and Ross, A.F., 2007. Koniambo lateritic Ni-Co deposits, New Caledonia – A case study
from geological modelling to mineral resource classification, in Orebody Modelling and Strategic
Mine Planning, second edition (ed: R. Dimitrakopoulos), pp. 235–244. (The Australasian Institute of
Mining and Metallurgy: Melbourne).
Bleines, C., Deraisme, J., Geffroy, F., Perseval, S., Rambert, F., Renard, D., Touffait, Y., and Wagner, L.
2012. ISATIS software manual. Geovariances and Ecole des Mines de Paris. 531 pp.
Dohm, C. 2005. Quantifiable mineral resource classification – A logical approach, in Geostatistics Banff
2004 (eds: O. Leuangthong and C. Deutsch), 1:333–342 (Springer: Dordrecht).
Joint Ore Reserves Committee (JORC), 2012. Australasian Code for Reporting of Exploration Results,
Mineral Resources and Ore reserves (JORC Code).
Verly, G., Postolski, T., and Parker, H.M. 2014. Assessing uncertainty with drillhole spacing studies:
applications to mineral resources, In AusIMM: Orebody Modelling and Strategic Mine Planning
2014, Paper No. 72, 23 pp.
Wawruch, T., Jorge, F. and Betzhold, J.F., 2005. Mineral Resource classification through conditional
simulation, in Geostatistics Banff 2004 (eds: O. Leuangthong and C. Deutsch), 1:479–489 (Springer:
Dordrecht).
ACKNOWLEDGEMENTS
The authors would like to thank Christianne Mariz for her technical contributions, and William Finnerty, Ana Paula Chiquini and Dhaniel Carvalho for their valuable comments and
suggestions to improve the quality of the paper.
REFERENCES
Armstrong, M., Ndiaye, A., Razanatsimba, R., Galli, A. (2013). Scenario Reduction Applied to Geostatistical Simulations. In: Mathematical Geosciences, February 2013, vol. 45, Issue 2, pp. 165–182.
Audet, M. and Ross, A.F., 2007. Koniambo lateritic Ni-Co deposits, New Caledonia – A case study
from geological modelling to mineral resource classification, in Orebody Modelling and Strategic
Mine Planning, second edition (ed: R. Dimitrakopoulos), pp. 235–244. (The Australasian Institute of
Mining and Metallurgy: Melbourne).
Bleines, C., Deraisme, J., Geffroy, F., Perseval, S., Rambert, F., Renard, D., Touffait, Y., and Wagner, L.
2012. ISATIS software manual. Geovariances and Ecole des Mines de Paris. 531 pp.
Dohm, C. 2005. Quantifiable mineral resource classification – A logical approach, in Geostatistics Banff
2004 (eds: O. Leuangthong and C. Deutsch), 1:333–342 (Springer: Dordrecht).
Joint Ore Reserves Committee (JORC), 2012. Australasian Code for Reporting of Exploration Results,
Mineral Resources and Ore reserves (JORC Code).
Verly, G., Postolski, T., and Parker, H.M. 2014. Assessing uncertainty with drillhole spacing studies:
applications to mineral resources, In AusIMM: Orebody Modelling and Strategic Mine Planning
2014, Paper No. 72, 23 pp.
Wawruch, T., Jorge, F. and Betzhold, J.F., 2005. Mineral Resource classification through conditional
simulation, in Geostatistics Banff 2004 (eds: O. Leuangthong and C. Deutsch), 1:479–489 (Springer:
Dordrecht).