Dynamic multi-resolution spatial models

  title={Dynamic multi-resolution spatial models},
  author={Gardar Johannesson and Noel Cressie and Hsin-Cheng Huang},
  journal={Environmental and Ecological Statistics},
Data from remote-sensing platforms play an important role in monitoring environmental processes, such as the distribution of stratospheric ozone. Remote-sense data are typically spatial, temporal, and massive. Existing prediction methods such as kriging are computationally infeasible. The multi-resolution spatial model (MRSM) captures nonstationary spatial dependence and produces fast optimal estimates using a change-of-resolution Kalman filter. However, past data can provide valuable… CONTINUE READING

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