The (nearly) exhaustive directory of publications about Modern Spatiotemporal Geostatistics (MSG)

Since the early Nineties, Modern Spatiotemporal Geostatistics (MSG) has emerged has a scientific discipline that arises from the advancement of the ontological and epistemic status of stochastic analysis (Christakos, 2000, p. 15). Its most famous representative, the Bayesian Maximum Entropy approach, has been the subject of numerous publications in the last ten years. In order to help you find the most interesting publications with respect to your own field of interest or simply to give you an idea of the potential of BME, we have listed here all the publications about MSG, including all the BME publications.

You can see all the publications sorted either by alphabetical order, by date, by research team or by subject.

For the readers interested in the fundamental concepts of MSG and BME, you can glance through the list of introductory documents and PhD dissertations.

You can also have a look at the list of the non-MSG publications by the BMElab and UCL-Environmetry research teams.

Books are preceded by , PhD dissertations by PhD.

This page is maintained by Marie-Aline Wibrin. Feel free to contact her for any comment or suggestion, or to contribute your own BME papers!

Introductory documents                                                                           Back to top

Christakos,G. 1990. A Bayesian/maximum-entropy view to the spatial estimation problem. Math. Geol. 22:763-777.

Christakos, G. 1992. Random field models in earth sciences. Academic Press, San Diego, CA.

Christakos, G. and X.Y. Li. 1998. Bayesian maximum entropy analysis and mapping: A farewell to kriging estimators? Math. Geol. 30:435-462.

Serre, M.L. and G. Christakos. 1999. Modern geostatistics: computational BME analysis in the light of uncertain physical knowledge - the Equus Beds study. Stoch. Env. Res. Risk A. 13:1-26.

Christakos, G. 2000. Modern spatiotemporal geostatistics. Oxford University Press, New York.

Christakos, G., P.Bogaert, and M.L.Serre. 2002. Temporal GIS. Advanced Functions for Field-Based Applications. Springer-Verlag, New York NY.

PhD D'Or, D. 2003. Spatial prediction of soil properties: the Bayesian Maximum Entropy approach. PhD dissertation. Université catholique de Louvain - Belgium.
 

PhD Choi, K.M.. 2001. BME-Based Spatiotemporal Local Scale Mapping and Filtering of Mortality Data: The California Study. Ph.D. Dissertation. University of North Carolina at Chapel Hill, NC, May 2001.

PhD D'Or, D. 2003. Spatial prediction of soil properties: the Bayesian Maximum Entropy approach. PhD dissertation. Université catholique de Louvain - Belgium.

PhD Kolovos, A. 2001. Computational Investigations of the BME Mapping Approach and Incorporation of Physical Knowledge Bases. PhD dissertation. University of North Carolina at Chapel Hill.

PhD Serre, M.L. 1999. Environmental spatiotemporal mapping and ground water flow modelling using the BME and ST methods. University of North Carolina - Chapel Hill.
 

Bogaert, P. Assessing the variability of the variogram estimator. Gomez-Hernandez, J., Soares, A. and Froidevaux, R. geoENV II - Geostatistics for Environmental Applications, 479-490. 1999. Kluwer Academic Publishers.

Bogaert, P., and G. Christakos. 1997. Spatiotemporal analysis and processing of thermometric data over Belgium, Journal of Geophysical Research, 102(D22), 25,831-25,846.

Bogaert, P. and D. Russo. 1999. Optimal spatial sampling design for the estimation of the variogram based on a least squares approach. Water Resources Research 35:1275-1289.

Christakos, G. 1999. Review of "GeoEnvi-Geostatistics for Environmental Applications," by A. Soares, J. Gomez-Hernandez and R. Froidevaux (eds.), Journal of Environmental Geosciences, 6(1), 1-4.

Christakos, G., I. Clark, M. David, A.G. Journel, D.G. Krige and R.A. Olea. 1991. Geostatistical Glossary and Multilingual Dictionary. Oxford Univ. Press, Oxford, U.K., 177 p.

Hristopulos, D. T., and G. Christakos. 1997. A variational calculation of the effective fluid permeability of heterogeneous media. Physical Review E, 55(6), 7288-7298.

Hristopulos, D. T., and G. Christakos. 1999. Renormalization group analysis of permeability scaling. Stoch Environ Res & Risk Assess, 13(2), 131-160.

Hristopulos, D. T., G. Christakos and M. Serre. 1999. Implementation of a space transformation approach for solving the three-dimensional flow equation. SIAM Journal on Scientific Computing, 20(2), 619-647.

Hristopulos, D. T., G. Christakos and M. Serre. 1999. Monte Carlo calculations of single-phase effective permeability in 2D anisotropic porous media. Bull. Amer. Physical Soc., 44(6), 23.

PhD Kovitz (2002). Knowledge Base development from Data for Modern Geostatistics. PhD Dissertation, Dept. of Environmental Sciences & Engineering, Univ. of North Carolina at Chapel Hill, NC, USA.

Law, D.G., W.C. Miller, G. Christakos, K. Blue, M. Smurzynski, K.K. Fox, P.A. Leone. 2000. Deriving a surface of Chlamydial infection rates using geostatistics. In: Proc. of 2000 National Sexually Transmitted Diseases Prevention Confer., Milwaukee, Wisconsin, Dec. 4-7, 2000.

Law, D.G., M.L. Serre, G. Christakos, P.A. Leone and W.C. Miller. 2002 (submitted). The spatial distribution of sexually transmitted diseases reported in Wake County, North Carolina. American Jou. of Public Health.

Law, D.G., M.L. Serre, G. Christakos, P.A. Leone and W.C. Miller. 2003 (submitted). Spatiotemporal changes in Chlamydial infection and persistence of the core. Epidemiology.

Miller, C. T., G. Christakos, P. T. Imhoff, J. F. McBride, J. A. Pedit, and J. A. Trangenstein.1998. Multiphase flow and transport modeling in heterogeneous porous media: Challenges and approaches. Advances in Water Resources, 21(2), 77-120.