Fitting matrix-valued variogram models by simultaneous diagonalization (Part II: Application)

descriptionPublicationkeyboard_double_arrow_right Article 01 Oct 1995 English Publisher:Springer Science and Business Media LLCJournal:Mathematical Geology, volume 27, pages 877-888 (issn: 0882-8121, eissn: 1573-8868,

Copyright policy )

Authors: Xie, Tailiang; Myers, Donald E.; Long, Andrew E.;

doi: 10.1007/bf02087101

Fitting matrix-valued variogram models by simultaneous diagonalization (Part II: Application)

- Summary
- Subjects
- Metrics

Abstract

As an application, we demonstrate a proposed variogram modeling scheme using a spatial data set. Because the scheme relies on a procedure for simultaneously diagonalizing several matrices, we briefly describe the FG and least-squares algorithms. The model obtained by our scheme is used to cokrige the data. In addition, the proposed scheme is compared to more traditional methods.

Related Organizations

University of Wisconsin–Oshkosh
United States
University of Arizona
United States

Keywords

Inference from spatial processes, Geostatistics

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	20
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%