Hi,

I have a matrix size 405 x 287 for every day for the past 8 years.  The data
values represent various measured or derived hydroperiod data.  All of the
cells do not contain numeric data, many edge cells are coded NaA and so need
to be eliminated from the analysis.  Those cells coded NaN are always the
same from year to year.

I''m interested in conducting a multi-temporal spatial cross correlation
analysis to determine how consistent the hydroperiod has been among years.
For example I envision using monthly to aggregated seasonal and
comprehensive annual records to test for cross correlation. Tests will be
based on data representing wet and dry season aggregated data from 2000
against  wet and dry season data from 2001, 2001 and 2002, ... 2007 - 2008.

I'm wondering if converting each matrix to a spatial point process and then
using various function in the sp package will be the most efficient approach
for this analysis or whether there are more appropriate methods?

Any and all responses will certainly be appreciated

Thanks
Steve

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