Spatio-temporal interpolation using gstat

Gräler B., Pebesma E., Heuvelink G.

Research article (journal)

Abstract

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 PM10 concentration measured at rural air quality monitoring 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.

Details zur Publikation

Publisher:
Pages: 15
Release year: 2016
Publishing company: Technische Universitaet Wien
Language in which the publication is written: English
Link to the full text: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85010433555&origin=inward