Euklid (Inverse) Distance Weight Matrix
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function W = euklid_W(ws,d,n)
function W = euklid_invW(ws,d,n)
PURPOSE: create an (inverse) euklidean distance spatial weight matrix
(n x m 'moving-window' style matrix with distance to center cell
weighted.)
------------------------------------------------------------------
USAGE: W = euklid_W([wsy wsx],[dy dx],n)
where: ws is a vector [wsy wsx] of the x and y size of the matrix (uneven!)
d (optional) is a vector [dy dx] of the cellspacing in y and x direction
(default 1)
[n] (optional) specifies how to normalize the weight matrix.
Options for [n] are:
1) 'norm' to create a normalized weight matrix (sum of all
weights is 1
2) 'none' or NA for a non-normalized matrix (default)
-------------------------------------------------------------------------
OUTPUTS:
[W] a matrix with weights for every cell except center.
-------------------------------------------------------------------
NOTES: Weights are the the euklidean distance to
the center cell. Center cell weight is zero.
Free download from Shareware Connection - function W = euklid_W(ws,d,n) function W = euklid_invW(ws,d,n) PURPOSE: create an (inverse) euklidean distance spatial weight matrix (n x m 'moving-window' style matrix with distance to center cell weighted.
Version: 1.0 | Size: 10 KB | Platform: Matlab, Scripts
Released Date: 20-06-2013 | Rating: 0 | Title: Euklid (Inverse) Distance Weight Matrix
Author Url: http://www.mathworks.com
Program Info Url: http://www.mathworks.com
Download Url: http://www.mathworks.com/matlabcentral/fx_files/13665/1/euklid_distance.zip
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