Comparing Spatial Predictions

  title={Comparing Spatial Predictions},
  author={Amanda S. Hering and Marc G. Genton},
Under a general loss function, we develop a hypothesis test to determine whether a significant difference in the spatial predictions produced by two competing models exists on average across the entire spatial domain of interest. The null hypothesis is that of no difference, and a spatial loss differential is created based on the observed data, the two sets of predictions, and the loss function chosen by the researcher. The test assumes only isotropy and short-range spatial dependence of the… CONTINUE READING

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