文件名称:kriging
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包括基本的克里金(Kriging)插值法实现代码,仅实现基本方法部分,不包含扩展克里金方法- kriging uses ordinary kriging to interpolate a variable z measured at
locations with the coordinates x and y at unsampled locations xi, yi.
The function requires the variable vstruct that contains all
necessary information on the variogram. vstruct is the forth output
argument of the function variogramfit.
This is a rudimentary, but easy to use function to perform a simple
kriging interpolation. I call it rudimentary since it always includes
ALL observations to estimate values at unsampled locations. This may
not be necessary when sample locations are not within the
autocorrelation range but would require something like a k nearest
neighbor search algorithm or something similar. Thus, the algorithms
works best for relatively small numbers of observations (100-500).
For larger numbers of observations I recommend the use of GSTAT.
Note that kriging fails if there are two or more observa
locations with the coordinates x and y at unsampled locations xi, yi.
The function requires the variable vstruct that contains all
necessary information on the variogram. vstruct is the forth output
argument of the function variogramfit.
This is a rudimentary, but easy to use function to perform a simple
kriging interpolation. I call it rudimentary since it always includes
ALL observations to estimate values at unsampled locations. This may
not be necessary when sample locations are not within the
autocorrelation range but would require something like a k nearest
neighbor search algorithm or something similar. Thus, the algorithms
works best for relatively small numbers of observations (100-500).
For larger numbers of observations I recommend the use of GSTAT.
Note that kriging fails if there are two or more observa
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kriging.m