• 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