 Usage:  myres = SPKRsurfgls (np, covmod, xmat, nx, dval, alpha, se {, D})  

 

 Input:



  np                     scalar - degree of the polynomial surface, an integer 

                         in the range 0..6 

                         

  covmod                 integer - type of spatial covariance function: 

                         0 = expcov, 1 = gaucov, 2 = sphercov 

                         

  xmat                   n x 3 - matrix of locations (x_i, y_i) [columns 1 & 2] and 

                         observations z_i [column 3] 

                         

  nx                     integer - number of bins used for table of the covariance; 

                         increasing nx adds accuracy, but also increases 

                         the size of the object 

                         

  dval                   scalar - range parameter (for spatial covariance function) 

                         

  alpha                  sclar - proportion of nugget effect (for spatial covariance 

                         function) 

                         

  se                     scalar - standard deviation at distance zero (for spatial 

                         covariance function) 

                         

  D                      scalar - optional; default D = 2; dimension of spheres 

                         (only used for spatial covariance function SPKRsphercov) 

                         

 Output:



  res                    list - consisting of components 

                         x, y, z, np, f, alph, l, r, beta, wz, yy, W, l1f, 

                         minx, maxx, covmod, type -- 

                         

  x                      n x 1 - same as xmat[,1] 

                         

  y                      n x 1 - same as xmat[,2] 

                         

  z                      n x 1 - same as xmat[,3] 

                         

  np                     scalar - same as input value np 

                         

  f                      matrix - internal use only 

                         

  alph                   matrix - internal use only 

                         

  l                      matrix - internal use only 

                         

  r                      matrix - internal use only 

                         

  beta                   matrix - (np + 1)(np + 2) / 2 coefficients 

                         

  wz                     matrix - internal use only 

                         

  yy                     matrix - internal use only 

                         

  W                      matrix - internal use only 

                         

  l1f                    matrix - internal use only 

                         

  minx                   1 x 3 - minimum of columns of xmat 

                         

  maxx                   1 x 3 - maximum of columns of xmat 

                         

  covmod                 scalar - same as input value covmod 

                         

  type                   string - "trgls" 

                         

--------------------------------------------------------------

(C) MD*TECH Method and Data Technologies, 21.9.2000

