Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Library: spatial
See also: SPKRsurfls SPKRsurfgls SPKRexpcov SPKRgaucov SPKRsphercov SPKRprmat SPKRsemat SPKRcorrelogram SPKRvariogram SPKRmultcontours

Quantlet: SPKRtrmat
Description: Evaluates a trend surface over a grid.

Reference(s):

Link:
Usage: mygrid = SPKRtrmat (obj, xl, xu, yl, yu, n)
Input:
obj list - (of type "trls" or "trgls") calculated by SPKRsurfls or SPKRsurfgls
xl scalar - lower limit in x-direction of the rectangle for grid
xu scalar - upper limit in x-direction of the rectangle for grid
yl scalar - lower limit in y-direction of the rectangle for grid
yu scalar - upper limit in y-direction of the rectangle for grid
n scalar - use n x n grid within the rectangle
Output:
res list - consisting of components z, xl, xu, yl, yu, n, type --
z grid - for further useage with SPKRmultcontours
xl scalar - same as input value xl
xu scalar - same as input value xu
yl scalar - same as input value yl
yu scalar - same as input value yu
n scalar - same as input value n
type string - "trmat"

Note:

Example:

; load the spatial statistics library

library ("spatial")

; read a spatial data set

topo = read("topo.dat")

; calculate a polynomial regression surface of order 2

myres = SPKRsurfls (2, topo)

; calculate a 30 x 30 grid within [0, 6.5] x [0, 6.5]

; using trend surface myres

mygrid = SPKRtrmat (myres, 0, 6.5, 0, 6.5, 30)

Result:

A grid suitable for display through SPKRmultcontours.


Library: spatial
See also: SPKRsurfls SPKRsurfgls SPKRexpcov SPKRgaucov SPKRsphercov SPKRprmat SPKRsemat SPKRcorrelogram SPKRvariogram SPKRmultcontours

Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Author: Juergen Symanzik, 000725
(C) MD*TECH Method and Data Technologies, 21.9.2000