Optimal designs of sampling spatial locations in estimating spatial averages of random fields are considered. The random field is assumed to have correlated ...
Dec 3, 2015 · Optimal designs of sampling spatial locations in estimating spatial averages of random fields are considered. The random field is assumed to ...
We study the spatial optimal sampling design for covariance parameter estimation. The spatial process is modeled as a Gaussian random field and maximum ...
Missing: averages | Show results with:averages
The Sampling Design Tool for ArcGIS randomly selects people, animals, objects, or places in a GIS environment to infer status or change.
Missing: averages | Show results with:averages
4 days ago · We used maximum likelihood estimation, which offers a powerful heuristic to theoretically explore the estimation accuracy of sampling designs ...
Abstract. A methodology for the choice of optimal spatial sampling designs is proposed. The problem is to find an optimal finite set of space locations ...
Optimal sampling designs for nonparametric estimation of spatial averages of random fields ... estimating spatial averages of random fields are considered ...
"Optimal sampling designs for nonparametric estimation of spatial averages of random fields," Journal of Multivariate Analysis, Elsevier, vol. 146(C), pages ...
The problem of spatial sampling design for estimating a multivariate random field from informa- tion obtained by sampling related variables is considered.
A common objective in both spatial and non-spatial approaches is to design a sampling configuration that minimizes the variance associated with the estimation.