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Modern Spatiotemporal Geostatistics (MSG) |
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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!
By
Research Team
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UNC-Chapel Hill - UCL-Environmetry - Common UNC/UCL - Others
University of North Carolina at Chapel Hill
Augustiraj, R., M. L. Serre and G. Christakos. 2001. Modelling the spatiotemporal distribution of subsurface heavy metal contamination at the Cherrypoint, North Carolina Superfund site. Superfund Annual Research Symposium, November 5, Chapel Hill, NC.Cassiani, G. and G. Christakos. 1998. Analysis and estimation of natural processes with nonhomogeneous spatial variation using secondary information. Math. Geol. 30:57-76.
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.
Choi, K.M. and G. Christakos. 1999. Uncertain Data Integration to BME Analysis, EPA Region IV, Atlanta, GA.
Choi, K.M., G. Christakos and M.L. Serre. 1998. Recent Development in Vectorial and Multi-point BME Analysis. In: Proceedings of the Fourth Annual Conference of the International Association for Mathematical Geology, De Frede Editore, Napoli, Italy, pp. 91-96.
Choi, K.M., G. Christakos and M.L. Serre. 2000. Space/time BME analysis of the Mortality Rate in California as a Health Indicator at Spatially Local Scale Using the BME Method. Superfund Basic Research Program Annual Conference, Chapel Hill, North Carolina.
Choi, K.M., G. Christakos and M.L. Serre. 2001. Space/time BME analysis and mapping of mortality in California. The 53rd Session of the International Statistical Institute, Seoul, 22-29 August 2001.
Choi, K-M, G. Christakos and M.L. Wilson. 2002. A new multi-scale modelling approach for space/time random field estimation. Joint Intern. Symp. on Geospatial Theory, Processing & Appl's, Ottawa, Canada, July 9-12, 2002.
Choi, K.M., M.L. Serre, and G. Christakos. 2003. Efficient mapping of California mortality fields at different spatial scales. Journal of Exposure Analysis and Environmental Epidemiology 13:120-133.
Christakos,G. 1990. A Bayesian/maximum-entropy view to the spatial estimation problem. Math. Geol. 22:763-777.
Christakos, G. 1991. Some applications of the BME concepts in geostatistics. p. 215-229. In W.T.Grandy, and L.H.Schick (ed.) Maximum entropy and Bayesian methods. Kluwer Acad. Publ., Kluwer Acad. Publ.
Christakos, G. 1998. Spatiotemporal information systems in soil and environmental sciences. Geoderma 85:141-179.
Christakos, G. 1998. While God is raining brains, are we holding umbrellas ? The role of modern geostatistics in spatiotemporal analysis and mapping. Buccianti, A., Nardi, G. and Potenza, R. Proceedings of IAMG'98, the fourth annual conference of the international association of mathematical geology Naples, Italy, 33-53. Naples, De Frede.
Christakos, G. 1998. Multi-point BME space/time mapping of environmental variables. In: Computational Methods in Surface & Groundwater Transport. Burganos, V.N., G.P. Karatzas, A.C. Payatakes, W.G. Gray & G.F. Pinder (eds.), Vol. 2, pp. 289-296, Computational Mechanics Publ., Southampton, U.K.
Christakos,G. 2002. Stochastic Modelling of Human Exposure. pp. 1290-1296. In A.H.El-Shaarawi, and W.W.Piegorsh (ed.) Encyclopedia of environmetrics. John Wiley & Sons, John Wiley & Sons.
Christakos, G. 2002. On a deductive logic-based spatiotemporal random field theory. Teoriya Imovirnostey ta matematychna statystyka (Probability theory and mathematical statistics) 66:54-65.
Christakos, G. 2002. On the assimilation of uncertain physical knowledge bases: Bayesian and non-Bayesian techniques. Advances in Water Resources 25:1257-1274.
Christakos, G. 2002. Conceptual framework of physical knowledge synthesis in uncertain environments. Keynote talk, Model CARE2002, 535-539, Prague, Czech Rep.
Christakos, G. 2002 (in press). The role of conceptual frameworks in hydrologic research and development. Acta Universitatis Carolinae Geologica.
Christakos, G. 2003 (in press). The Study of Uncertainty in Life Support Systems. In: Encyclopedia of Life Support Systems, UNESCO, London, UK.
Christakos, G. 2003 (in press). Critical conceptualism in environmental modelling and prediction. Environmental Science & Technology.
Christakos, G. 2003 (in press). Another look at the conceptual fundamentals of porous media upscaling. Stoch. Environmental Res. & Risk Asess.
Christakos, G. and D.T. Hristopoulos. 1996. Stochastic indicators for waste site characterization. Water Resources Research 32:2563-2578.
Christakos, G., and D.T. Hristopulos. 1997. Stochastic Radon Operators in Porous Media Hydrodynamics. Quarterly of Applied Mathematics, LV(1), 89-112.
Christakos, G. and D.T. Hristopoulos. 1997. Stochastic indicator analysis of contaminated sites. Journal of Applied Probability 34:988-1008.
Christakos, G., D.T. Hristopulos, and A. Kolovos. 2000. Stochastic flowpath analysis of multiphase flow in random porous media. Siam Journal on Applied Mathematics 60:1520-1542.
Christakos, G., D.T. Hristopulos and X. Li. 1998. Multiphase flow in heterogeneous porous media: A stochastic differential geometry viewpoint. Water Resources Research, 34(1), 93-102
Christakos, G., D.T. Hristopoulos and M.L. Serre. 1999. BME studies of stochastic differential equations representing physical laws - Part I. Lippard S.J., Naess, A. and Sinding-Larsen, R. Proceedings of the 5th Annual Confer. Of the Internat. Assoc. For Mathem. Geol. Trondheim, Norway., 63-98.
Christakos, G. and A. Kolovos. 1999. A study of the spatiotemporal health impacts of ozone exposure. Journal of Exposure Analysis and Environmental Epidemiology 9:322-335.
Christakos, G., A. Kolovos, M.L. Serre, C. Abhishek and F. Vukovic. 2003 (in press). Global mapping of ozone distribution using instruments on the nimbus7 satellite. In: Proceedings of the Fourth Conference on Geostatistics for Environmental Applications - geoEnV IV. Sanchez-Vila X., J. Carrera and J. Gomez-Hernandez Eds. Dordrecht, The Netherlands, Kluwer Academic Publishers. Quantitative geology and geostatistics.
Christakos, G., A. Kolovos, M.L. Serre and F. Vukovich. 2003 (in press). Total ozone mapping by integrating data bases from remote sensing instruments and empirical models, IEEE Trans. Geoscience & Remote Sensing.
Christakos, G., Kolovos, A., Serre, M.L., and F.M. Vukovich. 2003. Generating high spatial resolution analyses of SBUV stratospheric ozone for calculating the tropospheric ozone residual (TOR). In: Proceed. of IEEE Intern. Geoscience & Remote Sensing Symposium (IGARSS2003), Toulouse, France, 21-25 July, 2003.
Christakos, G., and J. Lai. 1997. A study of the breast cancer dynamics in North Carolina. Soc. Sci. Medicine, 45(10), 1503-1517.
Christakos, G. and X.Y. Li. 1998. Bayesian maximum entropy analysis and mapping: A farewell to kriging estimators? Math. Geol. 30:435-462.
Christakos, G. and V. Papanicolaou. 2000. Norm-dependent covariance permissibility of weakly homogeneous spatial random fields and its consequences in spatial statistics. Stoch. Envir. Res. & Risk Assess., 14(6), 471-478.
Christakos, G. and M.L. Serre. 2000. BME analysis of spatiotemporal particulate matter distributions in North Carolina. Atmospheric Environment 34:3393-3406.
Christakos, G. and M.L. Serre. 2000. Spatiotemporal analysis of environmental exposure-health effect associations. Journal of Exposure Analysis and Environmental Epidemiology 10:168-187.
G. Christakos and M.L. Serre. 2002. Soft data space/time mapping of coarse particulate matter annual arithmetic average over the US. GeoEnv2002, 4th European
Confer. on Geostatistics for Envir. Appl's, Barcelona, Spain, Nov. 27-29, 2002.Christakos, G. and M.L. Serre., V. Demyanov, V. Timonin, V.M. Kanevski, E. Saveliera, S. Chernov. 2000. BME analysis of Neural Network residual data from Chernobyl fallout: Bayesian and non-Bayesian approaches. In: P. Monestiez, D. Allard and R. Froidevaux, editors, geoENV III - Geostatistics for Environmental Applications, Kluwer Academic Publishers, Dordrecht, 1, pp. 509-510.
Christakos, G., M.L. Serre and J.L. Kovitz. 2001. BME representation of particulate matter distributions in the state of California on the basis of uncertain measurements. Journal of Geophysical Research-Atmospheres 106:9717-9731.
Christakos, G., and V. M. Vyas. 1998. A novel method for studying the health impacts of spatiotemporal ozone distribution over eastern United States. Soc. Sci. Medicine, 47(8), 1051-1066
Christakos, G., and V. M. Vyas. 1998. A composite spatiotemporal study of ozone distribution over eastern United States. Atmospheric Environment, 32(16), 2845-2857.
Hristopulos, D.T. and G. Christakos. 2001. Practical calculation of non-Gaussian multivariate moments in spatiotemporal Bayesian maximum entropy analysis. Math. Geol. 33:543-568.
PhD Kolovos, A. 2001. Computational Investigations of the BME Mapping Approach and Incorporation of Physical Knowledge Bases. 2001. PhD dissertation. University of North Carolina at Chapel Hill.
Kolovos, A., G. Christakos, D.T. Hristopulos and M.L. Serre (2004). On Certain Classes Of Non-Separable Spatiotemporal Covariance Models . Adv. in Water Resour., in press.
Kolovos, A., D. T. Hristopulos, G. Christakos, and M. L. Serre (2004). Spatiotemporal Covariance Functions From Physical Models. Proceedings of the 1st International Conference on the Advances in Mineral Resources Management and Environmental Geotechnology, Chania, Crete, Greece, June 7-9.
Kolovos, A., G. Christakos, and M.L. Serre. 2000. Incorporation of physical knowledge and other forms of knowledge in spatiotemporal prediction of hydrologic processes. In: EOS Trans. Amer. Geophysical Union, San Francisco, CA.
Kolovos, A., G. Christakos, and M. L. Serre. 2001. BME mapping of pollutants governed by advection-reaction. Superfund Annual Research Symposium, November 5, Chapel Hill, NC.
Kolovos, A., G. Christakos, M.L. Serre, and C.T. Miller. 2002. Computational Bayesian maximum entropy solution of a stochastic advection-reaction equation in the light of site-specific information. Water Resources Research 38:art-1318.
Kolovos, A., M. L. Serre and G. Christakos. 2001. Spatial mapping of arsenic in groundwater and associated population health effects. Superfund Annual Research
Symposium, November 5, Chapel Hill, NC.Kovitz, J.L., G. Christakos, and M.L. Serre. 2000. BME analysis of space/time distributions of PM10 over California. In Proc. ISEA2000 (Intern. Soc. of Exposure Analysis), Monterey Pennisula, CA, Oct. 24-27, 2000.
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.
Kovitz, J. and G. Christakos. 2002 (submitted). A new technique for calculating spatial moments of clustered data. Technometrics.
Kovitz, J.and G. Christakos. 2004 (in press). Assimilation of fuzzy data by the BME method. Stoch. Environmental Res. & Risk Asess.
Kovitz, J.and G. Christakos. 2004 (in press). Spatial statistics of clustered data. Stoch Environ Res & Risk Assess.
Law, D.C.G., K. Bernstein, M.L. Serre, C.M. Schumacher, P.A. Leone, J.M. Zenilman, W.C. Miller, and A.M. Rompalo, (2005) Modeling an Early Syphilis Outbreak through Space and Time Using the Bayesian Maximum Entropy Approach, Annals of Epidemiology, accepted.
Law, D.G., M.L. Serre, G. Christakos, P.A. Leone and W.C. Miller (2004). Spatiotemporal Changes in Chlamydial Infection and Persistence of the Core, Epidemiology, submitted.
Lee, S.J., M.L. Serre, and G. Christakos (2005) Bayesian Maximum Entropy Mapping of Arsenic using pH-Arsenic empirical laws, ESE Research Notes, Department of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, USA, Vol 2, No. 1.
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.
Serre, M. L. and G. Christakos. 1999. BME studies of stochastic differential equations representing physical laws - Part II. Eds. S.J. Lippard, A. Naess and R.Sinding-Larsen. Proceedings of the 5th Annual Confer. Of the Internat. Assoc. For Mathem. Geol. Trondheim, Norway.
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.
Serre, M.L. and G. Christakos. 2002. BME-based hydrogeologic parameter estimation in groundwater flow modeling.Prague, Czech Republic, June 17-20 Acta Universitatis Carolinae Geologica, 46(2/3), 566-570.
Serre, M.L. and G. Christakos. 2002. Efficient exposure mapping across space-time of particulate matter in the US. AirPollution2002, Segovia, Spain, July 1-3, 2002.
Serre, M.L. and G. Christakos. 2003 (in press). Efficient BME estimation of subsurface hydraulic properties using measurements of water table elevation in unidirectional flow, in: K. Kovar and Z. Hrkal, editors, Calibration and Reliability in Groundwater Modelling: A Few Steps Closer to Reality (Proc. ModelCARE'2002, Prague, June 2002). IAHS Publ. no. 277.
Serre, M.L., G. Christakos, J. Howes and A. Gamal. 2000. Powering an Egyptian air quality information system with the BME space/time analysis toolbox. In: P. Monestiez, D. Allard and R. Froidevaux, editors, geoENV III - Geostatistics for Environmental Applications, Kluwer Academic Publishers, Dordrecht, 1, pp. 91-100.
Serre, M.L., G. Christakos and S.J. Lee. 2003 (in press). Soft Data Space/Time Mapping of Coarse Particulate Matter Annual Arithmetic Average over the U.S. In: Proceedings of the Fourth Conference on Geostatistics for Environmental Applications - geoEnV IV. Sanchez-Vila X., J. Carrera and J. Gomez-Hernandez Eds. Dordrecht, The Netherlands, Kluwer Academic Publishers. Quantitative geology and geostatistics.
Serre, M.L., G. Christakos, H. Li and C.T. Miller. 2003 (in press). A BME solution to the inverse problem for saturated groundwater flow. Stochastic Environmental Research and Risk Assessment.
Serre, M.L., A. Kolovos, G. Christakos and K. Modis. 2003. An application of the holistochastic human exposure methodology to naturally occurring Arsenic in Bangladesh drinking water. Risk Analysis, 23 (3), 515-528.
Vyas, V. M., and G. Christakos. 1997. Spatiotemporal analysis and mapping of sulfate deposition data over the conterminous USA. Atmospheric Environment, 31(12), 3623-3633.
Université catholique de Louvain Back to top
Bogaert, P. 2002. Spatial prediction of categorical variables: the Bayesian Maximum Entropy approach. Stoch. Env. Res. Risk A. 16:425-448.Bogaert, P. and D.D'Or. 2002. Estimating soil properties from thematic soil maps: the Bayesian Maximum Entropy approach. Soil Sci. Soc. Am. J. 66:1492-1500.
Bogaert, P. 2003 (in press). Spatial prediction of categorical variables: the BME approach.In: Proceedings of the Fourth Conference on Geostatistics for Environmental Applications - geoEnV IV. Sanchez-Vila X., J. Carrera and J. Gomez-Hernandez Eds. Dordrecht, The Netherlands, Kluwer Academic Publishers. Quantitative geology and geostatistics.
Bogaert, P., Wibrin, M.A. (2005). Combining categorical and continuous information using Bayesian Maximum Entropy. Renard P., Demougeot-Renard H. and Froidevaux R. Eds Geostatistics for Environmental Applications. Proceedings of the Fifth European Conference on Geostatistics for Environmental Applications, 15-26, Springer.
PhD D'Or, D. 2003. Spatial prediction of soil properties: the Bayesian Maximum Entropy approach. PhD dissertation. Université catholique de Louvain - Belgium.
D'Or, D. and Bogaert, P. 2001. Fine scale soil texture estimation using soil maps and profile descriptions. In: Proceedings of the Third Conference on geoENV III - Geostatistics for Environmental Applications - geoENV III. P. Monestiez, D. Allard and R. Froidevaux Eds. pp. 453-462. Dordrecht, The Netherlands, Kluwer Academic Publishers. Quantitative geology and geostatistics.
D'Or, D. and P. Bogaert. 2003. Continuous-valued map reconstruction with the Bayesian Maximum Entropy. Geoderma 112:169-178.
D'Or, D. and P. Bogaert. 2003 (in press). Combining categorical information with the Bayesian Maximum Entropy approach. In: Proceedings of the Fourth Conference on Geostatistics for Environmental Applications - geoEnV IV. Sanchez-Vila X., J. Carrera and J. Gomez-Hernandez Eds. Dordrecht, The Netherlands, Kluwer Academic Publishers. Quantitative geology and geostatistics.
Common UNC/UCL Back to top
Bogaert, P., Serre, M. L. and Christakos, G. 1999. Bayesian Maximum Entropy methods using transformations. Lippard S.J., Naess, A. and Sinding-Larsen, R. Proceedings of the 5th Annual Conference of the International Association for Mathematical Geology Trondheim, Norway., pp. 57-62.
Christakos, G., D.T. Hristopoulos, and P. Bogaert. 2000. On the physical geometry concept at the basis of space/time geostatistical hydrology. Advances in Water Resources 23:799-810.
D'Or, D., P. Bogaert and G. Christakos. 2001. Application of the BME approach to soil texture mapping. Stoch. Env. Res. Risk A. 15:87-100.
Serre, M. L., P. Bogaert and G. Christakos. 1998. Computational investigations of Bayesian Maximum Entropy spatiotemporal mapping. Buccianti, A., Nardi, G., and Potenza, R. Proceedings of IAMG'98 The fourth annual conference of the international association of mathematical geology Naples, Italy, pp. 117-122. Naples, Italy, De Frede.
Others Back to top
Institute of Natural Resource Management, National Chung Hsing University (Taiwan)Lee,Y.M. and J.H. Ellis. 1997. On the equivalence of kriging and maximum entropy estimators. Math. Geol., 29(1): 131-152.
Lee,Y.M. 1998. A Methodological Study of the Application of the Maximum Entropy Estimator to Spatial Interpolation. Journal of Geographic Information and Decision Analysis, 2(2): 243-251.
Nuclear Safety Institute IBRAE (Russia)
Demyanov, V., V.M. Kanevski, E. Saveliera, S. Chernov, V. Timonin, G. Christakos, and M.L. Serre. 2000. Neural network residual BME analysis of Chernobyl fallout-Part I. In Proc. GeoEnv2000 (3rd Europ. on Geostatistics for Envir. Appl's), Avignon, France, Nov. 22-24, 2000.
Parkin, R., E. Savelieva and M.L. Serre (2004). Soft geostatistical analysis of radioactive soil contamination, in Philippe Renard, editor, geoENV V - Geostatistics for Environmental Applications, Kluwer Academic Publishers, Dordrecht, accepted.
Savelieva, E., V. Demyanov, M. Kanevski, M.L. Serre and G. Christakos (2004). BME Application for Uncertainty Assessment of the Chernobyl Fallouts, Geoderma, in press.
Savelieva, E., V. Demyanov, M. Kanevski, M.L. Serre and G. Christakos. 2003. BME application in uncertainty assessment of the Chernobyl fallout. Pedometrics 2003, 5th Conf. of the Provisional Commission on Pedometrics of the Intern. Unio of Soil Sciences, Reading, U.K., Sept. 2003.
Department of Soil Management and Soil Care - Universiteit Gent (Belgium)
Douaik, A., M. Van Meirvenne, T. Tóth and M.L. Serre. 2004. Space-Time Mapping of Soil Salinity Using Probabilistic Bayesian Maximum Entropy, Stochastic Environmental Research and Risk Assessment, in press for Vol. 18, October 2004.
Douaik, A., Van Meirvenne M, et Tóth T. (Submitted) Soil salinity mapping using spatio-temporal kriging and bayesian maximum entropy with interval soft data. Geoderma.