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Three dimensional variogram modeling and Kriging
2020In this research, semi-variograms of different directions, are used to form a three-dimensional variogram surface. A simple and practical surface generation technique, namely bilinear surface fitting method is used for this purpose. Co-variance between any of two sample points (drill holes) can be found on the surface easily. Angle and distance between
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The variogram characterizes the spatial variability of a regionalized variable. Variogram calculation and modeling require a significant amount of professional time. The variogram has a significant impact on estimation and simulation, and it has a considerable impact in the mining industry since ordinary kriging is one of the most used tools for ...
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Variogram and Covariance Function
1995The experimental variogram is a convenient tool for the analysis of spatial data as it is based on a simple measure of dissimilarity. Its theoretical counterpart reveals that a broad class of phenomena are adequately described by it, including phenomena of unbounded variation.
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2009
Spatial statistics and geostatistics have developed to describe and analyze the variation in both natural and man-made phenomena on, above or below the land surface. Spatial statistics includes any of the formal techniques that study entities that have a spatial index (Cressie 1993).
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Spatial statistics and geostatistics have developed to describe and analyze the variation in both natural and man-made phenomena on, above or below the land surface. Spatial statistics includes any of the formal techniques that study entities that have a spatial index (Cressie 1993).
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Model — Interactive Variogram Modeling
1996The Model program constructs a 2D nested model with the help of experimental (cross) variogram(s) produced by Vario2D with PCF [45]. It deals with 2D anisotropic modeling of one or two variables but does not provide any facility for constructing a global coherent model of coregionalization.
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Variogram or semivariogram? Understanding the variances in a variogram
Precision Agriculture, 2008Martin Bachmaier, Matthias Backes
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Variogram analizi ve tarımsal araştırmalarda kullanımı
2020Kaynakça (s. 38-41) var.
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