Euklid (Inverse) Distance Weight Matrix 1.0

Operating systemsOS : Windows / Linux / Mac OS / BSD / Solaris
Program licensingScript Licensing : Freeware
CreatedCreated : Aug 14, 2007
Size downloadDownloads : 1
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function W = euklid_W(ws,d,n)<br />function W = ...

function W = euklid(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 cell 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.

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