167
Chilès, J.P., Delfiner, P., 2012. Geostatistics: Modeling Spatial Uncertainty. Wiley, New York.
Dalla Libera, N., Fabbri, P., Mason, L., Piccinini, L., Pola, M., 2017. Geostatistics as a tool to improve
the natural background level definition: An application in groundwater. Science of the Total Environment 598: 330–340.
Emery, X., 2004. Testing the correctness of the sequential algorithm for simulating Gaussian random
fields. Stochastic Environmental Research and Risk Assessment 18(6), 401–413.
Emery, X., 2009. The kriging update equations and their application to the selection of neighboring
data. Computational Geosciences 13(3): 269–280.
Emery, X., 2010. Iterative algorithms for fitting a linear model of coregionalization. Computers & Geosciences 36(9): 1150–1160.
Gálvez, I., Emery, X., 2011. Multivariate resources modelling: which data are relevant for cokriging?
In: Beniscelli, J., Kuyvenhoven, R., Hoal, K.O. (eds.), Proceedings of the 2nd International Seminar on
Geology for the Mining Industry. Gecamin Ltda, Santiago, Chile, pp. 10.
Goovaerts, P., 1997. Geostatistics for Natural Resources Evaluation. Oxford University Press, New
York.
Goulard, M., Voltz, M., 1992. Linear coregionalization model: tools for estimation and choice of crossvariogram matrix. Mathematical Geology 24(3): 269–286.
Hohn, M.E., 1999. Geostatistics and Petroleum Geology, 2nd edn. Kluwer Academic, Dordrecht, The
Netherlands.
Journel, A.G., Huijbregts, C.J., 1978. Mining Geostatistics. Academic Press, London.
Madani, N., Emery, X. (2018). “A comparison of search strategies to design the cokriging neighborhood for predicting coregionalized variables”. Stochastic Environmental Research and Risk Assessment, DOI: 10.1007/s00477-018-1578-1. In press.
Olea, R.A., Raju, N.J., Egozcue, J.J., Pawlowsky-Glahn, V., Singh, S., 2018. Advancements in hydrochemistry mapping: methods and application to groundwater arsenic and iron concentrations in Varanasi, Uttar Pradesh, India. Stochastic Environmental Research and Risk Assessment 32(1): 241–259.
Pan, G., Gaard, D., Moss, K., Heiner, T., 1993. A comparison between cokriging and ordinary kriging:
Case study with a polymetallic deposit. Mathematical Geology 25(3): 377–398.
Pyrcz M, Deutsch CV (2014) Geostatistical reservoir modeling. Oxford University Press, New York.
Rivoirard, J., 2001. Which models for collocated cokriging? Mathematical Geology 33(2): 117–131.
Rossi M, Deutsch CV (2014) Mineral resource estimation. Springer, New York
Vargas-Guzmán, J., Jim Yeh, T.C. 1999. Sequential kriging and cokriging: two powerful geostatistical
approaches. Stochastic Environmental Research and Risk Assessment 13(6): 416–435.
Wackernagel, H., 2003. Multivariate Geostatistics: an introduction with Applications. Springer, Berlin.
Xu, W., Tran, T.T., Srivastava, R.M., Journel, A.G., 1992. Integrating seismic data in reservoir modeling: the collocated cokriging alternative. In: 67th SPE Annual Technical Conference and Exhibition.
Society of Petroleum Engineers, SPE paper 24742, pp. 833–842.
Xu, W., Tran, T.T., Srivastava, R.M., Journel, A.G., 1992. Integrating seismic data in reservoir modeling: the collocated cokriging alternative. In: 67th SPE Annual Technical Conference and Exhibition.
Society of Petroleum Engineers, SPE paper 24742, pp. 833–842.
Chilès, J.P., Delfiner, P., 2012. Geostatistics: Modeling Spatial Uncertainty. Wiley, New York.
Dalla Libera, N., Fabbri, P., Mason, L., Piccinini, L., Pola, M., 2017. Geostatistics as a tool to improve
the natural background level definition: An application in groundwater. Science of the Total Environment 598: 330–340.
Emery, X., 2004. Testing the correctness of the sequential algorithm for simulating Gaussian random
fields. Stochastic Environmental Research and Risk Assessment 18(6), 401–413.
Emery, X., 2009. The kriging update equations and their application to the selection of neighboring
data. Computational Geosciences 13(3): 269–280.
Emery, X., 2010. Iterative algorithms for fitting a linear model of coregionalization. Computers & Geosciences 36(9): 1150–1160.
Gálvez, I., Emery, X., 2011. Multivariate resources modelling: which data are relevant for cokriging?
In: Beniscelli, J., Kuyvenhoven, R., Hoal, K.O. (eds.), Proceedings of the 2nd International Seminar on
Geology for the Mining Industry. Gecamin Ltda, Santiago, Chile, pp. 10.
Goovaerts, P., 1997. Geostatistics for Natural Resources Evaluation. Oxford University Press, New
York.
Goulard, M., Voltz, M., 1992. Linear coregionalization model: tools for estimation and choice of crossvariogram matrix. Mathematical Geology 24(3): 269–286.
Hohn, M.E., 1999. Geostatistics and Petroleum Geology, 2nd edn. Kluwer Academic, Dordrecht, The
Netherlands.
Journel, A.G., Huijbregts, C.J., 1978. Mining Geostatistics. Academic Press, London.
Madani, N., Emery, X. (2018). “A comparison of search strategies to design the cokriging neighborhood for predicting coregionalized variables”. Stochastic Environmental Research and Risk Assessment, DOI: 10.1007/s00477-018-1578-1. In press.
Olea, R.A., Raju, N.J., Egozcue, J.J., Pawlowsky-Glahn, V., Singh, S., 2018. Advancements in hydrochemistry mapping: methods and application to groundwater arsenic and iron concentrations in Varanasi, Uttar Pradesh, India. Stochastic Environmental Research and Risk Assessment 32(1): 241–259.
Pan, G., Gaard, D., Moss, K., Heiner, T., 1993. A comparison between cokriging and ordinary kriging:
Case study with a polymetallic deposit. Mathematical Geology 25(3): 377–398.
Pyrcz M, Deutsch CV (2014) Geostatistical reservoir modeling. Oxford University Press, New York.
Rivoirard, J., 2001. Which models for collocated cokriging? Mathematical Geology 33(2): 117–131.
Rossi M, Deutsch CV (2014) Mineral resource estimation. Springer, New York
Vargas-Guzmán, J., Jim Yeh, T.C. 1999. Sequential kriging and cokriging: two powerful geostatistical
approaches. Stochastic Environmental Research and Risk Assessment 13(6): 416–435.
Wackernagel, H., 2003. Multivariate Geostatistics: an introduction with Applications. Springer, Berlin.
Xu, W., Tran, T.T., Srivastava, R.M., Journel, A.G., 1992. Integrating seismic data in reservoir modeling: the collocated cokriging alternative. In: 67th SPE Annual Technical Conference and Exhibition.
Society of Petroleum Engineers, SPE paper 24742, pp. 833–842.
Xu, W., Tran, T.T., Srivastava, R.M., Journel, A.G., 1992. Integrating seismic data in reservoir modeling: the collocated cokriging alternative. In: 67th SPE Annual Technical Conference and Exhibition.
Society of Petroleum Engineers, SPE paper 24742, pp. 833–842.