 |
Modern Spatiotemporal Geostatistics (MSG) |
|
|
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
Subject
Back to top
Air pollution - Health - Soil Science - Hydrology - BME for categorical variables - Physical laws - Space/Time
- Air pollution
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 M.L. Serre. 2000. BME analysis of spatiotemporal particulate matter distributions in North Carolina. Atmospheric Environment 34:3393-3406.
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., 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.
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.
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.
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., 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.
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.
- Health Back to top
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., 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., 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. 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., and J. Lai. 1997. A study of the breast cancer dynamics in North Carolina. Soc. Sci. Medicine, 45(10), 1503-1517.
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.
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
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.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.
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.
- Soil Science 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. 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. 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.
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., P. Bogaert and G. Christakos. 2001. Application of the BME approach to soil texture mapping. Stoch. Env. Res. Risk A. 15:87-100.
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.
Douaik, A., Van Meirvenne, M., Toth, T., and Serre M. (Submitted) Space-time mapping of soil salinity using probabilistic Bayesian Maximum Entropy. Stochastic Environmental Research & Risk Assessment.
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.
- Hydrology Back to top
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 (in press). The role of conceptual frameworks in hydrologic research and development. Acta Universitatis Carolinae Geologica.
Christakos, G. 2003 (in press). Another look at the conceptual fundamentals of porous media upscaling. Stoch. Environmental Res. & Risk Asess.
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.
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
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., 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.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. 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. 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.
- BME for categorical variables 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. 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.
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.
- Physical laws Back to top
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., 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.
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.
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.
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.
- Space/Time Back to top
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.
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. On a deductive logic-based spatiotemporal random field theory. Teoriya Imovirnostey ta matematychna statystyka (Probability theory and mathematical statistics) 66:54-65.
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.
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.
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.
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., 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.
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.