Kriging with External Drift for functional data for air quality monitoring

@inproceedings{MateuKrigingWE,
  title={Kriging with External Drift for functional data for air quality monitoring},
  author={Jorge Mateu and Ram{\'o}n and Giraldo}
}
Functional data featured by a spatial dependence structure occur in many environmental sciences when curves are observed, for example, along time or along depth. Recently, some methods allowing for the prediction of a curve at an unmonitored site have been developed. However, the existing methods do not allow to include in a model exogenous variables that, for example, bring meteorology information in modeling air pollutant concentrations. In order to introduce exogenous variables, potentially… CONTINUE READING

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