Abstract
An approach for the exploratory analysis of the space-time interaction in spatio-temporal-data is presented. The approach uses the interactive brushing technique, known from exploratory data analysis (EDA), in order to connect time series with maps. By applying this approach to infectious disease surveillance data, we gain further insight into the space-time-relationship of these data and obtain a tool for detecting outbreaks of infectious diseases.
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References
Bailey, T.C. & Gatrell, A.C. (1995). Interactive spatial data analysis. Harlow: Longman Scientific & Technical.
Becker, R.A. & Cleveland W.S. (1987). Brushing scatterplots. Technometrics, 29, 127–142.
Brunsdon, C. (1998). Exploratory spatial data analysis and local indicators of spatial association with XLISP-STAT. The Statistician, 47, 471–484.
Cressie, N. & Mugglin A.S. (2000): Spatio-temporal hierarchical modeling of an infectious disease from (simulated) count data. In: COMPSTAT2000 Proceedings in computational Statistics, 41–52, Heidelberg: Physica-Verlag.
Farrington, C.P. & Beale, A.D. (1997). The detection of outbreaks of infectious disease. In: Geomed97, 97 - 117. Heidelberg: Springer.
Haining, R., Wise, S. & Ma J. (1998). Exploratory spatial data analysis in a geographic information system environment. The Statistician, 47, 457–469.
Haslett, J., Bradley, R., Craig, P., Unwin, A. & Wills G. (1991) Dynamic graphics for exploring spatial data with application to locating global and local anomalies. The American Statistician, 45, 234–242.
Knorr Held, L., & Besag, J.E. (1998): Modelling risk from a disease in time and space. Statistics in Medicine, 17, 2045 - 2060.
Lawson, A. B., Böhning, D., Biggeri, A., Lesaffre, E. & Viel, J.F. (1999). Disease mapping and its uses. In: Disease Mapping and Risk Assessment for Public Health, 3 - 13. New-York: Wiley.
Rowlingson, B.S. & Diggle, P.J. (1991). SPLANCS: spatial point pattern analysis code in S-Plus. Computers and Geoscience, 19, 627 - 655.
Wilhelm, A. & Steck, R. (1998). Exploring spatial data by using interactive graphics and local statistics. The Statistician, 47, 423–430.
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© 2002 Springer-Verlag Berlin Heidelberg
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Dreesman, J.M. (2002). Interactive Exploratory Analysis of Spatio-Temporal Data. In: Härdle, W., Rönz, B. (eds) Compstat. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-57489-4_61
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DOI: https://doi.org/10.1007/978-3-642-57489-4_61
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1517-7
Online ISBN: 978-3-642-57489-4
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