![](bg9.png)
rogate map-widget to complement other frameworks
by quickly indicating relationships between data as-
pects that could then be analyzed individually with
specifically tuned widgets.
ACKNOWLEDGEMENTS
The authors thank anonymous reviewers for valuable
comments and assistance in revising the paper. The
work presented in this paper was supported by a grant
from the German Science Foundation (DFG), number
SCHE663/4-1 within the strategic research initiative
on Scalable Visual Analytics (SPP 1335).
REFERENCES
Andrienko, G. and Andrienko, N. (2006). Visual Data Ex-
ploration: Tools, Principles, and Problems. In Clas-
sics from IJGIS: twenty years of the International
journal of geographical information science and sys-
tems, pages 475–479. CRC Press.
Andrienko, N. and Andrienko, G. (2005). Exploratory
Analysis of Spatial and Temporal Data: A Systematic
Approach. Springer.
Dent, B. D. (1999). Carography: Thematic Map Design.
McGraw-Hill, 5th edition.
D
¨
ork, M., Carpendale, S., Collins, C., and Williamson, C.
(2008). Visgets: Coordinated visualizations for web-
based information exploration and discovery. IEEE
Transactions on Visualization and Computer Graph-
ics, 14(6):1205–1212.
Eccles, R., Kapler, T., Harper, R., and Wright, W. (2008).
Stories in geotime. Information Visualization, 7(1):3–
17.
Fabrikant, S. I., Montello, D. R., and Mark, D. M. (2010).
The natural landscape metaphor in information visu-
alization: The role of commonsense geomorphology.
J. Am. Soc. Inf. Sci. Technol., 61(2):253–270.
J
¨
anicke, S., Heine, C., and Scheuermann, G. (2013).
GeoTemCo: Comparative Visualization of
Geospatial-Temporal Data with Clutter Removal
Based on Dynamic Delaunay Triangulations. In
Csurka, G., Kraus, M., Laramee, R., Richard, P.,
and Braz, J., editors, Computer Vision, Imaging and
Computer Graphics. Theory and Application, volume
359 of Communications in Computer and Information
Science, pages 160–175. Springer Berlin Heidelberg.
Kapler, T. and Wright, W. (2005). Geo time information vi-
sualization. Information Visualization, 4(2):136–146.
Kim, S., Maciejewski, R., Malik, A., Jang, Y., Ebert, D. S.,
and Isenberg, T. (2013). Bristle maps: A multivari-
ate abstraction technique for geovisualization. IEEE
Transactions on Visualization and Computer Graph-
ics, 19(9):1438–1454.
Kraak, M. J. (1988). The space-time cube revisited from a
geovisualization perspective. Proceedings of the 21st
International Cartographic Conference, 1995.
Maciejewski, R., Rudolph, S., Hafen, R., Abusalah, A. M.,
Yakout, M., Ouzzani, M., Cleveland, W. S., Grannis,
S. J., and Ebert, D. S. (2010). A visual analytics
approach to understanding spatiotemporal hotspots.
IEEE Transactions on Visualization and Computer
Graphics, 16(2):205–220.
Roberts, J. C. (2007). State of the art: Coordinated multiple
views in exploratory visualization. In Proceedings of
the 5th International Conference on Coordinated Mul-
tiple Views in Exploratory Visualization (CMV2007).
IEEE Computer Society Press.
Rogers, S. (2010). The Guardian - Wik-
ileaks Iraq war logs: every death mapped.
http://www.guardian.co.uk/world/datablog/interactive/
2010/oct/23/wikileaks-iraq-deaths-map (Retrieved
2013-09-17).
Roth, R. E., Ross, K. S., Finch, B. G., Luo, W., and
MacEachren, A. M. (2010). A User-Centered Ap-
proach for Designing and Developing Spatiotemporal
Crime Analysis Tools. In Purves, R. and Weibel, R.,
editors, Proceedings of GIScience.
Shneiderman, B. (1996). The eyes have it: A task by data
type taxonomy for information visualizations. In Pro-
ceedings of the 1996 IEEE Symposium on Visual Lan-
guages, pages 336–343. IEEE Computer Society.
Slocum, T. A., McMaster, R. B., Kessler, F. C., and Howard,
H. H. (2009). Thematic Cartography and Geovisual-
ization. Prentice Hall Series in Geographic Informa-
tion Science. Prentice Hall, 3rd, international edition.
Tominski, C., Schulze-Wollgast, P., and Schumann, H.
(2005). 3d information visualization for time depen-
dent data on maps. 2010 14th International Confer-
ence Information Visualisation, 0:175–181.
Tominski, C., Schumann, H., Andrienko, G., and An-
drienko, N. (2012). Stacking-based visualization of
trajectory attribute data. IEEE Transactions on Visu-
alization and Computer Graphics, 18(12):2565–2574.
Ware, C. (2004). Information Visualization: Perception for
Design. Morgan Kaufmann, 3rd edition.
Wise, J. A., Thomas, J. J., Pennock, K., Lantrip, D., Pot-
tier, M., Schur, A., and Crow, V. (1995). Visual-
izing the non-visual: spatial analysis and interaction
with information from text documents. In Proceedings
of the 1995 IEEE Symposium on Information Visual-
ization, INFOVIS ’95, pages 51–, Washington, DC,
USA. IEEE Computer Society.
Xu, K., Cunningham, A., Hong, S.-H., and Thomas, B. H.
(2007). Graphscape: integrated multivariate network
visualization. In Hong, S.-H. and Ma, K.-L., editors,
APVIS, pages 33–40. IEEE.
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