Dimensional modeling for landslide monitoring data warehouse

  • Authors:

  • Hongbo Mei;Guangdao Hu

  • Affiliations:

  • Faculty of Earth Resources, China University of Geosciences, Wuhan, China;Faculty of Earth Resources, China University of Geosciences, Wuhan, China

  • Venue:
  • WISM'12 Proceedings of the 2012 international conference on Web Information Systems and Mining
  • Year:
  • 2012

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Abstract

There selects starlike structure which is one of the dimensional modeling as the logical construction of landslide monitoring data warehouse, and establishes a bus matrix for the data warehouse. According to the characteristics and subject requirements of landslide monitoring data, this paper focuses on six fact tables such as daily rainfall, daily water level, fissure relative displacement and five shared dimensions such as location, time, monitoring point and so on. Using those fact tables and dimensions to establish corresponding muti-demensional models with building blocks approach which provides subject-oriented data support for landslide hazard prediction and waning command.