kriging - [spatial statistics (use for geostatistics)] An interpolation technique in which the surrounding measured values are weighted to derive a predicted value for an unmeasured location.
Kriging developed by Georges Matheron, as the "theory of regionalized variables", and D.G. Krige as an optimal method of interpolation for use in the mining industry ...
Kriging is a group of geostatistical techniques to interpolate the value of a random field (e.g. the elevation Z of the landscape as a function of the geographic location) at an unobserved location from observations of its value at nearby ...
GIS Dictionary > kriging
Definitions for GIS terms related to operations such as analysis, GIS modeling and web-based GIS, cartography, and Esri software.
Kriging techniques determine window configuration and weighting factors as a function of the spatial autocorrelation in the sample set.
Of the methods which did not use elevation as ancillary information, kriging was most visually plausible. Kriging gave better results than optimal inverse distance when data were anisotropic.
The co-kriging uses beside semivariograms for each variable also cross-variograms for the variable couples. Let us consider the simple case of two variables.
An interpolation technique in which the surrounding measured values are weighted to derive a predicted value for an unmeasured location.
Kriging and (sequential) conditional simulation are done under (simplifications of) the universal cokriging model. Any number of variables may be spatially cross-correlated.
Kriging - A mathematical interpolation method based on the use of a generalized least-squares algorithm. It was first developed for mining applications but is now commonly used for 3-D geographic data processing.
Simple kriging is now the default kriging method; in previous versions, the default was Ordinary kriging. The change was made because of the flexibility of the new Multiplicative Skewing normal score transformation.
Mask environment ...
kriging p. 212 a geostatistical technique for interpolation that uses information about the spatial autocorrelation in the vicinity of each point to provide 'optimal' interpolation (in the sense of greater use of the information provided by the ...
Digital elevation models (DEM), triangulated irregular networks (TIN), Edge finding algorithms, Theissen Polygons, Fourier analysis, Weighted moving averages, Inverse Distance Weighted, Moving averages, Kriging, Spline, ...
three techniques are Linear interpolation, which effectively runs a straight line between the points with altitude values, the Cubic Spline, which interpolates a smooth curve through the given data points, and Statistical interpolation using Kriging ...
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