DocumentCode :
2225197
Title :
Epidemic analysis and visualization based on Digital Earth spatio-temporal framework
Author :
Weng, Jingnong ; Xu, Yunfei ; Sharma, Ananta Raj
Author_Institution :
Sch. of Comput. Sci. & Eng., Beihang Univ., Beijing, China
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
7220
Lastpage :
7223
Abstract :
Digital Earth provides an excellent means for the visualization and analysis of the epidemic data. Currently the most of the epidemic data analysis is done only based on the data attributes such as number of victims, time of occurrence, type or intensity of the epidemic, etc. Most of the visualization of the epidemic is done merely using maps. Visualization of the place of occurrence or hot spot is one of the major factors in the analysis of the epidemic data which seems to be lacking in the current research projects. So, we have introduced a China Star Epidemic data visualization and analysis tool which can do comprehensive and thorough analysis and visualization of epidemic data. The tool integrates most of the attributes of the epidemic data into one single solid system. As a case study, we have used a real disease data of Shenzhen, China for this research. It is demonstrated that Digital Earth can be an excellent platform for the visualization of the changing pattern of epidemic data both in space and time dimension. The developed prototype also represents a tool to implement a concept of `Thinking Spatially´ in 3D dimension especially in epidemic data analysis and visualization domain.
Keywords :
data analysis; data visualisation; epidemics; geographic information systems; geophysics computing; medical computing; China Star Epidemic data visualization and analysis tool; Shenzhen; digital earth spatiotemporal framework; epidemic data analysis; epidemic data visualization; epidemic hot spot; Data analysis; Data visualization; Diseases; Earth; Prototypes; Remote sensing; Spatial databases; China Star; digital earth; epidemic data visualization; spatial and temporal analysis; thinking spatially;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6351996
Filename :
6351996
Link To Document :
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