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Author(s): |
Jiuyun Sun, Dept. school of environment and science and spatial informatics, china university of mining and technology, Xuzhou, Chinay
Yinguo Qiu, Dept. school of environment and science and spatial informatics, china university of mining and technology, Xuzhou, Chinay |
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Abstract: |
Natural focal disease is a kind of epidemic that human being and beasts (or birds) sicken together and infected mutual. The disease even if didn’t epidemic in human at one period of time, but it can exists in nature by infection among beasts (or birds), and may arose in human being when people neglect. Because of the fearful fatalness, now days it gradually arouse people pay attention to this kind of diseases. The disease has strong zone characteristic, and with human being activity, resource and environment exists correlation. Previously because of the ability shortage in data acquisition, management and spatial analysis, that restricted people to open out the interactional inherence mechanism and disciplinarian. Along with the development of 3S(GIS, GPS and RS) and spatial data mining, their powerful profundity analysis function fetched a chance to research distributing rules and developmental trends. This paper take 3S as data collection, administrator and visualization plat form, and using spatial data mining as analytical method, to discussed the construction of decision supported system in epidemic prevention. Based on the data of mainly natural focal diseases in Jiangsu province, bring forth a new geographical cellular automata based on irregular plygon network. Then using the model to forecast the development of nature focus, and it was validated by compared with actual information. Thereby an effective scheme of decision supported system in nature focal diseases prevention was explored.
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