Name

predict — Calculates predicted kriging mean and variance at points x;

Calling Sequence

   													[my]=predict(model,x);
   													[my,vy]=predict(model,x);
   
   
   

Parameters

mode:

mlist of type kmodel created previously.

x:

points for prediction, m*n matrix, m - number of points, n - number of dimensions, each row represents one point). If x represents one point both - column and row vector is accepted.

mY:

column vector (m*1) containing predicted mean at points x.

vY:

column vector (m*1) containing estimated variance at points x.

Description

Calculates predicted kriging mean and variance at points x. This function uses global variables Ty T_kriging Beta_kriging M_kriging Tyfb_kriging frf_kriging. Variance is estimated using formulas for Simple Kriging or Universal Kriging based on value model.estimateBeta.

Examples

See demos directory for more examples.
   

See also

km, findTheta, simGaussian, SimCondGaussian

Authors

Janis Janusevskis, 3MI/EMSE

Bibliography