Name
Abstract | ||
|---|---|---|
Interpolating scattered data points is a problem of wide ranging interest. One of the most popular interpolation methods in geostatistics is ordinary kriging. The price for its statistical optimality is that the estimator is computationally very expensive. We demonstrate the space and time efficiency and accuracy of approximating ordinary kriging through the use of covariance tapering combined with iterative methods. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-72586-2_74 | International Conference on Computational Science (2) |
Keywords | Field | DocType |
efficient implementation,popular interpolation method,large spatial data sets,optimal interpolator,time efficiency,ordinary kriging,statistical optimality,scattered data point,iterative method,iteration method,covariance,geostatistics,linear systems,interpolation,cholesky factorization,kriging,iterative methods,technical report,algorithms,tapering,spatial data | Kriging,Data point,Spatial analysis,Mathematical optimization,Iterative method,Computer science,Interpolation,Covariance,Estimator,Cholesky decomposition | Conference |
Volume | ISSN | Citations |
4488 | 0302-9743 | 2 |
PageRank | References | Authors |
0.43 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nargess Memarsadeghi | 1 | 33 | 7.70 |
| David M. Mount | 2 | 4222 | 479.94 |