Abstract
Suppose monitoring data are obtained from spatially distributed observations observed simultaneously and repeatedly in time. For weather or pollution data the observed covariances calculated from pairs of time series are often highly non-stationary geographically. A proposal is presented for estimating spatial covariances between monitored locations and unmonitored locations which combines the information from the observed station-pair covariances with a fitted stationary model for spatial covariance. The principal motivation is to obtain interpolation precision estimates which reflect local covariance properties.
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© 1989 Springer Science+Business Media Dordrecht
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Switzer, P. (1989). Non-Stationary Spatial Covariances Estimated from Monitoring Data. In: Armstrong, M. (eds) Geostatistics. Quantitative Geology and Geostatistics, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-6844-9_8
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DOI: https://doi.org/10.1007/978-94-015-6844-9_8
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-015-6846-3
Online ISBN: 978-94-015-6844-9
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