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Parallel Kriging Algorithm for Unevenly Spaced Data

  • Jacek Strzelczyk
  • Stanislawa Porzycka
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7133)

Abstract

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.

Keywords

parallel kriging unevenly spaced data PSInSAR 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Jacek Strzelczyk
    • 1
  • Stanislawa Porzycka
    • 1
  1. 1.Department of Geoinformatics and Applied Computer Science, Faculty of Geology, Geophysics and Environmental ProtectionAGH University of Science and TechnologyKrakowPoland

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