<< NL_F_KrigingPred NL_F: Function NL_F_LagPlot >>

NARVAL >> NL_F: Function > NL_F_KrigingVar

NL_F_KrigingVar

Perform the Kriging variance.

Calling Sequence

[S,V]=NL_F_KrigingVar(L,Gv)

Arguments

L :

vector.

Gv :

G vector.

S :

Standard error.

V :

Variance.

Description

NL_F_KrigingVar performs the Kriging variance V (). If errors are normally distributed, we have: Kriging Predictor +-1.96*sqrt(kriging variance). The prediction interval is [K-1.96*s : K+1.96*s].

Examples

x=[1,3,1,4,5];
y=[5,4,3,5,1];
z=[100,105,105,100,115];
n=length(x);
[k,l,d,s]=NL_F_SemiVariogram(x,y,z);//semi-variogram
ni=100;//number of inter-slope between 0 and max slope
[os,isl,di]=NL_F_SemiVariogramFit(s,d,ni);//fit
[g]=NL_F_GammaMatrix(os,k,l,d,n);//Gamma Matrix
xi=1;
yi=4;
[dv,gv]=NL_F_ForecastXY(g,os,x,y,xi,yi);//semi-variogram in (xi,yi)
[lambda]=NL_F_ForecastLambda(g,gv);//computation of Lambda
[P,K]=NL_F_KrigingPred(lambda,z);//Kriging predictor
[sd,v]=NL_F_KrigingVar(lambda,gv);//application of NL_F_KrigingVar

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<< NL_F_KrigingPred NL_F: Function NL_F_LagPlot >>