A review of non-stationary spatial methods for geodetic least-squares collocation
Access Status
Open access
Authors
Darbeheshti, Neda
Featherstone, Will
Date
2010Type
Journal Article
Metadata
Show full item recordCitation
Darbeheshti, Neda and Featherstone, Will. 2010. A review of non-stationary spatial methods for geodetic least-squares collocation. Journal of Spatial Science. 55 (2): pp. 185-204.
Source Title
Journal of Spatial Science
ISSN
Faculty
Department of Spatial Sciences
Faculty of Science and Engineering
WA School of Mines
Collection
Abstract
This paper reviews a field that is herein termed spatial ?non-stationarity?, which is specifically concerned with non-stationarity in the geodetic theory of least-squares collocation (LSC). In practice, many geodesists rely on stationary assumptions in LSC, i.e., using a constant mean and isotropic and spatially invariant covariance for estimation and prediction of geodetic quantities. However, new theories in spatial statistics and geostatistics allow for better statistical methodologies to be used in geodesy. The aim of this paper is to introduce these methodologies and adapt them for dealing with non-stationarity in LSC.
Related items
Showing items related by title, author, creator and subject.
-
Darbeheshti, Neda (2009)Geodesy deals with the accurate analysis of spatial and temporal variations in the geometry and physics of the Earth at local and global scales. In geodesy, least-squares collocation (LSC) is a bridge between the physical ...
-
Behrens, T.; Schmidt, K.; Viscarra Rossel, Raphael; Gries, P.; Scholten, T.; MacMillan, R. (2018)This study introduces a hybrid spatial modelling framework, which accounts for spatial non-stationarity, spatial autocorrelation and environmental correlation. A set of geographic spatially autocorrelated Euclidean distance ...
-
Darbeheshti, Neda; Featherstone, Will (2009)Standard least-squares collocation (LSC) assumes 2D stationarity and 3D isotropy, and relies on a covariance function to account for spatial dependence in the ob-served data. However, the assumption that the spatial ...