Integrated Spatio-temporal Data Mining for Forest Fire Prediction

  title={Integrated Spatio-temporal Data Mining for Forest Fire Prediction},
  author={Tao Cheng and Jiaqiu Wang},
  journal={Trans. GIS},
Forests play a critical role in sustaining the human environment. Most forest fires not only destroy the natural environment and ecological balance, but also seriously threaten the security of life and property. The early discovery and forecasting of forest fires are both urgent and necessary for forest fire control. This article explores the possible applications of Spatio-temporal Data Mining for forest fire prevention. The research pays special attention to the spatio-temporal forecasting of… CONTINUE READING
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Finding structure in time

  • J LElman
  • Cognitive Science
  • 1990
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  • M Kawabata, Q Shen
  • Urban Studies
  • 2007
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Forest fires in Galicia ( Spain ) : Threats and challenges for the future

  • M Amil
  • Journal of Forest Economics
  • 2007
1 Excerpt

Improving forest - fire prediction by applying a statistical approach

  • G Bianchinia, M Denhama, A Cortésa, T Margalefa, E Luquea
  • Forest Ecology and Management
  • 2006
1 Excerpt

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