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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© 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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