An alternative measure of the reliability of ordinary kriging estimates

Mathematical Geology

Volumn 32, Issue 4, 2000, Pages 489-509

  Yamamoto, Jorge Kazuo ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

Conditional estimation variance; Estimation variance; Negative weights; Ordinary kriging; Uncertainty assessment

Indexed keywords

KRIGING;

EID: 0034094938     PISSN: 08828121     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1007577916868     Document Type: Article

References (16)

1. Armstrong, M., 1994, Is research in mining geostats as dead as a dodo?: in Dimitrakopoulos, R., ed., Geostatistics for the next century: Kluwer Academic, Dordrecht, Netherlands, p. 303-312.
2. Deutsch, C. V., 1996, Correcting for negative weights in ordinary kriging: Computers & Geosciences, v. 22, no. 7, p. 765-773.
3. Deutsch, C. V., and Journel, A. G., 1992, GSLIB: Geostatistical software library and user's guide: Oxford University Press, New York, 340 p.
4. Diehl, P., and David, M., 1982, Classification of ore reserves/resources based on geostatistical methods: CIM Bulletin, v. 75, no. 838, p. 127-136.
5. Froidevaux, R., 1982, Geostatistics and ore reserve classification: CIM Bulletin, v. 75, no. 843, p. 77-83.
6. Froidevaux, R., 1993, Constrained kriging as an estimator of local distribution functions, in Capasso, V., Girone, G., and Posa, D., eds., Proceedings of the International Workshop on Statistics of Spatial Processes: Theory and Applications. Bari, Italy, p. 106-118.
7. Herzfeld, U. C., 1989, A note on programs performing kriging with nonnegative weights. Math. Geology, v. 21, no. 3, p. 391-393.
8. Isaaks, E. H., and Srivastava, R. M., 1989, An introduction to applied geostatistics: Oxford University Press, New York, 561 p.
9. Journel, A. G., and Huijbregts, C. J., 1978, Mining geostatistics: Academic Press, London, 600 p.
10. Journel, A. G., and Rao, S. E., 1996, Deriving conditional distributions from ordinary kriging: Stanford Center for Reservoir Forecasting (Report No. 9), Stanford, 25 p.
11. Journel, A. G., and Rossi, M. E., 1989, When do we need a trend model in kriging?: Math. Geology, v. 21, no. 7, p. 715-739.
12. Mood, A. M., Graybill, F. A., and Boes, D. C., 1974, Introduction to the theory of statistics (3rd edition): McGraw-Hill, New York, 564 p.
13. Olea, R. A., 1991, Geostatistical glossary and multilingual dictionary: Oxford University Press, New York, 175 p.
14. Wober, H. H., and Morgan, P. J., 1993, Classification of ore reserves based on geostatistical and economical parameters: CIM Bulletin, v. 86, no. 966, p. 73-76.
15. Yamamoto, J. K., 1989, A new method for ore reserve estimation and modeling: Brasil Mineral, v. 68, p. 52-56. (In Portuguese.)
16. Yamamoto, J. K., 1991, Comparison of computational methods for ore reserve estimation: A case study in the Chapada Copper Deposit, State of Goiás, Brazil: unpubl. Ph.D. thesis, University of São Paulo, 175 p. (In Portuguese.)