Contents/conteúdo

Probability and Statistics Seminar   RSS

21/07/2009, 14:30 — 15:30 — Room P3, Mathematics Building, IST
Wolfgang Schmid, Department of Statistics, European University Viadrina, Frankfurt, Germany

Local Approaches for Simultaneous Interpolating of Air Pollution Processes

In the paper, we derive a non-linear cokriging predictor for spatial interpolating of multivariate environmental process. The suggested predictor is based on the locally weighted scatterplot smoothing method of Cleveland (1979) applied simultaneously to several processes. This approach is more flexible as the linear cokriging predictor usually applied in mulivariate environmental statistics and extends the LOESS predictor of Bodnar and Schmid (2009) to multivariate data. In an empirical study, we apply the suggested approach for interpolating the most significant air pollutants in the Berlin/Brandenburg region.