Building a Visual Analytics Tool for Location-Based Services

Conventional visualization techniques and tools may need to be modified and tailored for analysis purposes when the data is spatio-temporal. However, there could be a number of pitfalls for the design of such analysis tools that completely rely on the well-known techniques with well-known limitations possibly due to the multidimensionality of spatio-temporal data. In this chapter, an experimental study to empirically testify whether widely accepted advantages and limitations of 2D and 3D representations are valid for the spatio-temporal data visualization is presented. The authors implemented two simple representations, namely density map and density cube, and conducted a laboratory experiment to compare these techniques from task completion time and correctness perspectives. Results of the experiment revealed that the validity of the generally accepted properties of 2D and 3D visualization needs to be reconsidered when designing analytical tools to analyze spatio-temporal data.

[1]  Rüdiger Westermann,et al.  Acceleration techniques for GPU-based volume rendering , 2003, IEEE Visualization, 2003. VIS 2003..

[2]  Menno-Jan Kraak,et al.  The space - time cube revisited from a geovisualization perspective , 2003 .

[3]  Barbara Tversky,et al.  Animation: can it facilitate? , 2002, Int. J. Hum. Comput. Stud..

[4]  Denis Lalanne,et al.  Flowstrates: An Approach for Visual Exploration of Temporal Origin‐Destination Data , 2011, Comput. Graph. Forum.

[5]  P. Rheingans,et al.  Temporal visualization of planning polygons for efficient partitioning of geo-spatial data , 2005, IEEE Symposium on Information Visualization, 2005. INFOVIS 2005..

[6]  Heidrun Schumann,et al.  Space, time and visual analytics , 2010, Int. J. Geogr. Inf. Sci..

[7]  Colin Ware,et al.  Zooming versus multiple window interfaces: Cognitive costs of visual comparisons , 2006, TCHI.

[8]  John F. Roddick,et al.  An Updated Bibliography of Temporal, Spatial, and Spatio-temporal Data Mining Research , 2000, TSDM.

[9]  A. MacEachren,et al.  Research Challenges in Geovisualization , 2001, KN - Journal of Cartography and Geographic Information.

[10]  Jarke J. van Wijk,et al.  Eurographics/ Ieee-vgtc Symposium on Visualization 2009 Visualization of Vessel Movements , 2022 .

[11]  Heidrun Schumann,et al.  Visualization of attributed hierarchical structures in a spatiotemporal context , 2010, Int. J. Geogr. Inf. Sci..

[12]  Mats Lind,et al.  Evaluating 2D and 3D visualizations of spatiotemporal information , 2010, TAP.

[13]  Sarah Nichols,et al.  Comparison of 2D and 3D representations for visualising telecommunication usage , 2003, Behav. Inf. Technol..

[14]  Desney S. Tan,et al.  Phosphor: explaining transitions in the user interface using afterglow effects , 2006, UIST.

[15]  Gennady L. Andrienko,et al.  Interactive analysis of event data using space-time cube , 2004, Proceedings. Eighth International Conference on Information Visualisation, 2004. IV 2004..

[16]  Niklas Elmqvist,et al.  Perception of Animated Node‐Link Diagrams for Dynamic Graphs , 2012, Comput. Graph. Forum.

[17]  Andy Cockburn,et al.  Evaluating the effectiveness of spatial memory in 2D and 3D physical and virtual environments , 2002, CHI.

[18]  Menno-Jan Kraak,et al.  Designing a visual environment for exploration of time series of remote sensing data: In search for convective clouds , 2007, Comput. Graph..

[19]  L. Hardy,et al.  Tests for the Detection and Analysis of Color-Blindness. I. The Ishihara Test: An Evaluation , 1945 .

[20]  John F. Roddick,et al.  Survey of Spatio-Temporal Databases , 1999, GeoInformatica.

[21]  Kirsi Virrantaus,et al.  Space–time density of trajectories: exploring spatio-temporal patterns in movement data , 2010, Int. J. Geogr. Inf. Sci..

[22]  Tamara Munzner,et al.  Process and Pitfalls in Writing Information Visualization Research Papers , 2008, Information Visualization.

[23]  Leland Wilkinson,et al.  The History of the Cluster Heat Map , 2009 .

[24]  Daniel A. Keim,et al.  Geovisual analytics for spatial decision support: Setting the research agenda , 2007, Int. J. Geogr. Inf. Sci..

[25]  William E. Weihl,et al.  Lottery scheduling: flexible proportional-share resource management , 1994, OSDI '94.

[26]  Peter F. Fisher,et al.  Developments in Spatial Data Handling, 11th International Symposium on Spatial Data Handling, Leicester, UK, August 23-25, 2004 , 2005, SDH.

[27]  Gennady L. Andrienko,et al.  Exploratory spatio-temporal visualization: an analytical review , 2003, J. Vis. Lang. Comput..

[28]  Theresa-Marie Rhyne,et al.  Guest Editors' Introduction: Exploring Geovisualization , 2006, IEEE Computer Graphics and Applications.