A Survey on Data Visualization Applications Challenges Techniques and Technologies
DOI:
https://doi.org/10.51983/ajcst-2015.4.1.1745Keywords:
Geovisualization, Rectangle packing, Community Health map, ArcGISAbstract
Trillions of dollars are spent each year on health care.The Department of Health Research (DHR) keeps track of a
variety of health care indicators across the country, resulting in a large geospatially multivariate data set. This paper presents the various techniques, tools, technology and algorithms for the representation of large scale data which aims to provide good overviews of complete structures and the content of the data in one display space. The ability to visualize multiple variables on the map and compare them using a table and charts at the same time can provide valuable insights which might not be possible to obtain from current tools. . There are large numbers of data visualization techniques which have been developed over the last decade to support the exploration of large data sets. The techniques and tools discussed in this paper are based on the data type to be visualized, the visualization technique and the interaction and distortion technique.
References
T. Itoh, et al., "Hierarchical data visualization using a fast rectangle-packing algorithm," Visualization and Computer Graphics, IEEE Transactions on, vol. 10, no. 3, pp. 302-313, 2004.
CL P. Chen and C.-Y. Zhang, "Data-intensive applications, challenges, techniques and technologies: A survey on Big Data," Information Sciences, vol. 275, pp. 314-347, 2014.
C. Tominski, P. Schulze-Wollgast, and H. Schumann, "Visual methods for analyzing human health data," Encyclopedia of healthcare information systems, vol. 1, pp. 1357-1364, 2008.
C. W. Hanson III and B. E. Marshall, "Artificial intelligence applications in the intensive care unit," Critical care medicine, vol. 29, no. 2, pp. 427-435, 2001.
A. Sopan, et al., "Community Health Map: A geospatial and multivariate data visualization tool for public health datasets," Government Information Quarterly, vol. 29, no. 2, pp. 223-234, 2012.
C. A. Brewer, "Color research applications in mapping and visualization," Color and Imaging Conference, vol. 2004, no. 1, 2004.
A. M. MacEachren, C. A. Brewer, and L. W. Pickle, "Visualizing georeferenced data: representing reliability of health statistics," Environment and Planning A, vol. 30, no. 9, pp. 1547-1561, 1998.
F. Ren and M.-P. Kwan, "Geovisualization of human hybrid activity‐travel patterns," Transactions in GIS, vol. 11, no. 5, pp. 721-744, 2007.
Y. Yamaguchi and T. Itoh, "Visualization of distributed processes using 'data jewelry box' algorithm," Computer Graphics International, 2003. Proceedings. IEEE, 2003.
N. Henry, J. Fekete, and M. J. McGuffin, "NodeTrix: a hybrid visualization of social networks," Visualization and Computer Graphics, IEEE Transactions on, vol. 13, no. 6, pp. 1302-1309, 2007.
Z. Liang, C. He, and Z. Xin, "Feature-based visualization algorithm for large-scale flow data," Computer Modeling and Simulation, 2010. ICCMS'10. Second International Conference on, vol. 1, IEEE, 2010.
D. A. Keim, et al., "Visual data mining in large geospatial point sets," Computer Graphics and Applications, IEEE, vol. 24, no. 5, pp. 36-44, 2004.
J. Ahrens, et al., "Large-scale data visualization using parallel data streaming," Computer Graphics and Applications, IEEE, vol. 21, no. 4, pp. 34-41, 2001.
W. Müller, T. Nocke, and H. Schumann, "Enhancing the visualization process with principal component analysis to support the exploration of trends," Proceedings of the 2006 Asia-Pacific Symposium on Information Visualisation-Volume 60, Australian Computer Society, Inc., 2006.
G. Fuchs and H. Schumann, "Intelligent icon positioning for interactive map-based information systems," Proceedings of the International Conference of the Information Resources Management Association (IRMA), 2004.
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