Advertisement

Geostatistical prediction of spatial extremes and their extent

  • N. Cressie
  • J. Zhang
  • P.F. Craigmile

Keywords

Ordinary Kriging Prediction Location Conditional Simulation Importance Function Residual Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Aldworth J, Cressie N (2003) Prediction of nonlinear spatial functionals. Journal of Statistical Planning and Inference 112, 3–41.CrossRefGoogle Scholar
  2. Craigmile PF, Cressie N, Santner TJ, Rao Y (2004) Bayesian inferences on environmental exceedances and their spatial locations. Submitted for reviewGoogle Scholar
  3. Cressie N (1993a) Aggregation in geostatistical problems. In A. Soares (ed.), Geostatistics Troia 1992, vol. 1, pp. 25–36. Kluwer Academic Publishers: DordrechtGoogle Scholar
  4. Cressie N (1993b) Statistics for Spatial Data (Revised edition). Wiley: New YorkGoogle Scholar
  5. Cressie N, Johannesson G (2001) Kriging for cut-offs and other difficult problems. In Monestiez P, Allard D, Froidevaux R (eds.) geoENV III — Geostatistics for Environmental Applications. Kluwer: Dordrecht, 299–310Google Scholar
  6. Deutsch CV, Journel AG (1992) GSLIB: Geostatistical Software Library and User’s Guide, Oxford University Press: New YorkGoogle Scholar
  7. Journel AG (1983) Nonparametric estimation of spatial distributions. Journal of the International Association for Mathematical Geology 15, 445–468CrossRefGoogle Scholar
  8. Journel AG, CJ Huijbregts (1978) Mining Geostatistics. Academic Press: LondonGoogle Scholar
  9. Lajaunie C (1990) Comparing some approximate methods for building local confidence intervals for predicting regionalized variables. Mathematical Geology 22, 123–144CrossRefGoogle Scholar
  10. Matheron G (1963) Principles of geostatistics. Economic Geology 58, 1246–1266CrossRefGoogle Scholar
  11. Matheron G (1976) A simple substitute for conditional expectation: the disjunctive kriging. In Guarascio M, David M, Huijbregts C (eds.), Advanced Geostatistics in the Mining Industry, pp. 221–236. Reidel: DordrechtGoogle Scholar
  12. Waller LA, Gotway CA(2004) Applied Spatial Analysis for Public Health Data. Wiley: New YorkGoogle Scholar
  13. Zirschky J, Harris D (1986) Geostatistical analysis of hazardous waste site data. Journal of Environmental Engineering 112, 770–783.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • N. Cressie
    • 1
  • J. Zhang
    • 1
  • P.F. Craigmile
    • 1
  1. 1.Department of StatisticsThe Ohio State UniversityColumbusUSA

Personalised recommendations