Spatio-Temporal Interpolation using gstat

Benedikt Gräler, Edzer Pebesma, Gerard Heuvelink
2016 The R Journal  
We present new spatio-temporal geostatistical modelling and interpolation capabilities of the R package gstat. Various spatio-temporal covariance models have been implemented, such as the separable, product-sum, metric and sum-metric models. In a real-world application we compare spatiotemporal interpolations using these models with a purely spatial kriging approach. The target variable of the application is the daily mean PM 10 concentration measured at rural air quality monitoring stations
more » ... itoring stations across Germany in 2005. R code for variogram fitting and interpolation is presented in this paper to illustrate the workflow of spatio-temporal interpolation using gstat. We conclude that the system works properly and that the extension of gstat facilitates and eases spatio-temporal geostatistical modelling and prediction for R users.
doi:10.32614/rj-2016-014 fatcat:4mablsb5tjbbhkpgbcsoegiibi