ToBeReviewed/STATISTICS/
a_correlate2d.pro
This function computes the autocorrelation Px(K,L) or
autocovariance Rx(K,L) of a sample population X[nx,ny] as a
function of the lag (K,L).
Routine summary
- result = auto_cov2d(X, Lag, Double=Double, zero2nan=zero2nan)
-
-
- result = a_correlate2d(X, Lag, Covariance=Covariance, Double=Double)
-
-
auto_cov2d
Statistics
result = auto_cov2d(X, Lag, Double=Double, zero2nan=zero2nan)
Parameters
X
in
required
An 2 dimension Array [nx,ny]
Lag
in
required
2-element vector, in the intervals [-(nx-2), (nx-2)],[-(ny-2), (ny-2)],
of type integer that specifies the absolute distance(s) between
indexed elements of X.
Keywords
Double
If set to a non-zero value, computations are done in double precision arithmetic.
zero2nan
Version history
Version
$Id: a_correlate2d.pro 163 2006-08-29 12:59:46Z navarro $
History
28/2/2000 Sebastien Masson (smasson@lodyc.jussieu.fr)
Based on the A_CORRELATE procedure of IDL
a_correlate2d
Statistics
result = a_correlate2d(X, Lag, Covariance=Covariance, Double=Double)
Parameters
X
in
required
An 2 dimension Array [nx,ny]
Lag
in
required
2-element vector, in the intervals [-(nx-2), (nx-2)],[-(ny-2), (ny-2)],
of type integer that specifies the absolute distance(s) between
indexed elements of X.
Keywords
Covariance
If set to a non-zero value, the sample autocovariance is computed.
Double
If set to a non-zero value, computations are done in double precision arithmetic.
Version history
Version
$Id: a_correlate2d.pro 163 2006-08-29 12:59:46Z navarro $
History
28/2/2000 Sebastien Masson (smasson@lodyc.jussieu.fr)
Based on the A_CORRELATE procedure of IDL
Produced by IDLdoc 2.0.