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.
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Strzelczyk, J., Porzycka, S. (2012). Parallel Kriging Algorithm for Unevenly Spaced Data. In: Jónasson, K. (eds) Applied Parallel and Scientific Computing. PARA 2010. Lecture Notes in Computer Science, vol 7133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28151-8_20
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DOI: https://doi.org/10.1007/978-3-642-28151-8_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28150-1
Online ISBN: 978-3-642-28151-8
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