DocumentCode :
2190940
Title :
Mining Spatial Co-occurrence of Drought Events from Climate Data of India
Author :
Sravanthi, Kollukuduru ; Rajan, K.S.
Author_Institution :
Lab. for Spatial Inf., Int. Inst. of Inf. Technol., Hyderabad, India
fYear :
2010
fDate :
13-13 Dec. 2010
Firstpage :
106
Lastpage :
112
Abstract :
Increasingly in the recent past, the focus on climate change is moving towards the understanding of the occurrence, both in magnitude and frequency, of extreme climatic events like droughts and floods. In this paper, an effort has been made towards identification of spatial co-occurrence of droughts across various subdivisions of India, based on the historical climatological data of the past century. The results show that similarities in the climate forcing factors have a role in spatio-temporal correlation of events. Also, from the results, it is seen that the well-known spatial autocorrelations measures, such as Moran Index, are not sufficient to explain such co-occurrences of events.
Keywords :
climate mitigation; climatology; data mining; geophysics computing; hydrology; spatiotemporal phenomena; India; climate change; climate forcing factor; drought; historical climatological data; spatial autocorrelation; spatial co-occurrence mining; spatiotemporal correlation; Moran Index; co-occurrence; drought; extreme events; rainfall; spatial autocorrelation; spatial data mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining Workshops (ICDMW), 2010 IEEE International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-9244-2
Electronic_ISBN :
978-0-7695-4257-7
Type :
conf
DOI :
10.1109/ICDMW.2010.142
Filename :
5693289
Link To Document :
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