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
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