When data are sampled at locations that are clustered, the classical semivariogram estimator (1) can be considered a sum of contributions of terms from ...
Using a simple theoretical example, we demonstrate that weighting can dramatically increase the efficiency of classical variogram estimates from clustered data.
Jun 15, 2006 · Abstract. The classical variogram estimate is convenient but can be unacceptably variable. Improved estimators are possible, especially when ...
Improved estimators are possible, especially when the locations of the available data are highly clustered. Using a simple theoretical example, we demonstrate ...
Dec 4, 2019 · A variogram makes no assumptions on the data, it is a measure of the data, and if binned, it is a summary measure of the data.
Missing: Weighted Classical
In this paper, a methodology is proposed to weight data pairs in order to compensate for redundancies between clustered data values and to minimize the ...
Missing: Classical | Show results with:Classical
We propose a decomposition of the trace-variogram into amplitude and phase components, and quantify how spatial correlations between functional observations ...
The primary goal of calculating experimental variograms in kriging studies is to estimate the required variogram model. The destructuring effect of ...
Missing: Classical | Show results with:Classical
Nov 17, 2023 · Estimating the statistical properties of spatially distributed data is conventionally done through semivariogram analysis, where an experimental ...
ABSTRACT. The variogram provides an important method for measuring the dependence of attri- bute values between spatial locations.