Taking spatial variability of variables into account in the up-scaling process made it possible to simultaneously and accurately obtain estimates and estimation ...
Oct 22, 2024 · Scaling-up leads to a change in uncertainty of spatial data. The change of uncertainty in maps was studied by calculating. global variance ...
In this study, four up-scaling methods were derived based on simple and ordinary cokriging estimators and a sequential Gaussian cosimulation algorithm for ...
Abstract—When using remote sensing and geogrphaic infor- mation systems, accurately scaling-up spatial data of a variable and their uncertainties from a ...
Taking spatial variability of variables into account in the up-scaling process made it possible to simultaneously and accurately obtain estimates and estimation ...
A major difference among these methods lies in how spatial heterogeneity is treated in the model-based scaling procedure. Extrapolation by lumping ...
This paper summarizes the development and application of spatial statistical models in satellite optical remote sensing.
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Jul 27, 2022 · We provide a quantitative assessment of the three-dimensional spatial distribution of soil N across the United States (CONUS) using a digital soil mapping ...
Aug 19, 2015 · A new method using MPS and isometric mapping (ISOMAP) that can achieve nonlinear dimensionality reduction is proposed to reconstruct spatial ...
In this paper we review how the uncertainty in spatial information has been characterized. This includes both continuous predictions of spatial variables, and ...