Most of the current available methods for geo-spatial data with time
dependency deal only with movement data without taking into account the
spatiotemporal context of the movement. The context includes properties
of different places and different times and various spatial, temporal,
and spatiotemporal objects affecting and/or being affected by the
movement. Context information could be weather or environmental data or
any other kind of data influencing the object's behavior. My aims are to
develop theoretical foundations and novel scalable methods for analyzing
movement in context. The developed methodology will be verified through
creation of prototype software tools and their evaluation in real
application scenarios in cooperation with domain experts.
The following list of publications covers only those, which are or were published during participation at the Graduiertenkolleg / PhD program.
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- Hao, M., Janetzko, H., Mittelstädt, S., Hill, W., Dayal, U., Keim, D., Manish, M., Sharma, R. K., A visual analytics approach for peak-preserving prediction of large seasonal time series, Eurographics/IEEE-VGTC Symposium on Visualization (EuroVis), Bergen, Norway, 2011, in press.
- Oelke, D., Janetzko, H., Svenja, S., Neuhaus, K., Keim, D., Visual Boosting in Pixel-based Visualizations, Computer Graphics Forum, 2011, submitted. abstract
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| 2010 |
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- Hao, M., Dayal, U., Sharma, R. K., Keim, D., Janetzko, H., Variable binned scatter plots, Information Visualization Journal, One of the best papers in VDAIO (Paper no. 7530-5), Vol. 9, pp. 194-203, 2010. abstract
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| 2009 |
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- Keim, D., Ming, H., Dayar, U., Janetzko, H., Bak, P., Generalized scatter plots, Information Visualization Journal, December 2009. Link abstract
- Bak, P., Mansmann, F., Janetzko, H., Keim, D., Spatiotemporal analysis of sensor logs using growth-ring maps, IEEE Transactions on Visualization and Computer Graphics, Vol. 15, No. 6, pp. 913-920, 2009. abstract
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| 2011 |
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- Hao, M., Manish, M., Janetzko, H., Sharma, R. K., Keim, D., Dayal, U., Patnaik, D., Ramakrishnan, N., Visualizing Frequent Patterns in Large Multivariate Time Series, SPIE, One of five selected best papers, Vol. 7868, January 2011. abstract
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| 2010 |
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- Ming, H., Dayal, U., Sharma, R. K., Keim, D., Janetzko, H., Visual analytics of large multi-dimensional data using variable binned scatter plots, Visualization and Data Analysis (VDA), 2010, SPIE. abstract
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| 2009 |
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- Hao, M., Janetzko, H., Sharma, R. K., Dayal, U., Keim, D., Castellanos, M., Visual Prediction of Time Series, IEEE Conference on Visual Analytics Science and Technology (VAST), Poster (Best Poster Award), pp. 229-230, October 2009, IEEE Press. abstract
- Janetzko, H., Mansmann, F., Bak, P., Keim, D., Northern lights maps: Spatiotemporal exploration of mice movement, Eurographics/IEEE-VGTC Symposium on Visualization (EuroVis), Poster, Berlin, Germany, 2009. abstract
- Oelke, D., Hao, M., Rohrdantz, C., Keim, D., Dayal, U., Haug, L.-E., Janetzko, H., Visual opinion analysis of customer feedback data, IEEE Symposium of Visual Analytics in Science and Technology (VAST), 2009, IEEE Press. abstract
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| 2007 |
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- Kramis, M., Wildi, V., Lemke, B., Graf, S., Janetzko, H., Waldvogel, M., jSCSI Java iSCSI Initiator, Jazoon, 2007. abstract
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| 2006 |
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- Janetzko, H., Keim, D., Kramis, M., Mansmann, F., Waldvogel, M., Interactive poster: exploring block access patterns of native XML storage, IEEE Symposium on Information Visualization (InfoVis), 2006, IEEE Press. abstract
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