Abstract
Interpolation of Spatial Data
Highlights
The Method of Spatial Data InterpolationThis is the method, the main one of which is the autocorrelation of spatial data [2]
In the course of the study, we have disclosed methods for correcting and analyzing spatial data recorded in a vector format
In the case when the spatial variable is represented as a field of scalar or vector magnitudes
Summary
The Method of Spatial Data InterpolationThis is the method, the main one of which is the autocorrelation of spatial data [2]. Autocorrelation means that the magnitude of the spatial variable at the point x is related to the values near this point, and the binding force decreases together with the distance d. The value of the variable under study at the interpolation point z (x) is defined as the weighted average of the points measured around z, and the force of its influence on the nearest points w, decreases simultaneously with the distance to the measured point d. This method minimizes the influence of measurement points located farther than the value z (x) calculated at the interpolation point, since a double increase in distance leads to a fourfold decrease in the force of influence.
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