Details

Title

Simple spatial prediction - least squares prediction, simple kriging, and conditional expectation of normal vector

Journal title

Geodesy and Cartography

Yearbook

2010

Volume

vol. 59

Numer

No 2

Publication authors

Keywords

least squares prediction ; kriging ; semivariogram ; covariance function ; random field

Divisions of PAS

Nauki Techniczne

Publisher

Commitee on Geodesy PAS

Date

2010

Type

Artykuły / Articles

Identifier

ISSN 2080-7636

References

Adler R. (1981), The geometry of Random Fields. ; Armstrong M. (1998), Basic linear geostatistics, doi.org/10.1007/978-3-642-58727-6 ; Chiles J. (1999), Geostatistics - modeling spatial uncertainty, doi.org/10.1002/9780470316993 ; Christakos G. (1992), Random field models in earth sciences. ; Cressie N. (1990), The origins of kriging, Mathematical Geology, 22, 3, 239, doi.org/10.1007/BF00889887 ; Cressie N. (1993), Statistics for spatial data, doi.org/10.1002/9781119115151 ; Deutsch R. (1969), Estimation Theory. ; Heiskanen A. (1967), Physical Geodesy. ; Journel A. (2003), Mining geostatistics. ; Kitanidis P. (1997), Introduction to geostatistics - applications in hydrogeology, doi.org/10.1017/CBO9780511626166 ; Krarup T. (1969), A contribution to the mathematical foundation of physical geodesy. ; Lauritzen S. (1973), The probabilistic background of some statistical methods in physical geodesy. ; Matheron G. (1971), The theory of regionalized variables and its application. ; Matheron G. (1973), The intrinsic random functions and their applications, Adv. Appl. Prob, 5, 439, doi.org/10.2307/1425829 ; Morrison D. (1990), Multivariate statistical methods. ; Rao C. (1999), Linear models - least squares and alternatives. ; Schabenberger O. (2005), Statistical methods for spatial data analysis. ; Stein L. (1999), Interpolation of spatial data - some theory for kriging, doi.org/10.1007/978-1-4612-1494-6 ; VanMarcke E. (1988), Random Fields. ; Webster R. (2007), Geostatistics for environmental scientists, doi.org/10.1002/9780470517277

DOI

10.2478/v10277-012-0002-0

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