Adaptive Spatio-Temporal Interpolation Methods

نویسندگان

  • Jun Gao
  • Peter Revesz
چکیده

We propose a new adaptive spatio-temporal interpolation method that combines either by a step or a line function existing spatial and temporal interpolation methods. We test the new method using climate data obtained from weather stations in Colorado and Nebraska, for the time period from 1993 to 2003. The experimental results show that in mountainous regions our adaptive spatio-temporal method has a much better performance than both the IDW (Inverse Distance Weighting) and the temporal interpolation methods have in themselves.

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تاریخ انتشار 2005