Parallel Kriging Algorithm for Unevenly Spaced Data
In this work a new parallel kriging algorithm is presented. It is aimed at dealing with unevenly spaced data. The algorithm takes into consideration the spatial distribution of data points. The value in the interpolation points with similar neighbors’ groups of sampled data points is calculated only once and then copied from one to another. The algorithm was tested for Permanent Scatterers Interferometry Synthetic Aperture Radar (PSInSAR) data. Efficiency results were compared with the previous version of proposed parallel kriging algorithm for unevenly spaced data.
Keywordsparallel kriging unevenly spaced data PSInSAR
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- 5.Gebhardt, A.: PVM Kriging with R. In: Proceedings of the 3rd International Workshop on Distributed Statistical Computing, DSC 2003 (2003), http://www.ci.tuwien.ac.at/Conferences/DSC-2003/Drafts/Gebhardt.pdf
- 6.Strzelczyk, J., Porzycka, S., Leniak, A.: Analysis of ground deformations based on parallel geostatistical computations of PSInSAR data. In: Proceedings of 17th International Geoinformatics Conference (Fairfax 2009) (2009)Google Scholar