Can anyone help me use the kohonen package to develop a self-organizing map
of data that is in netcdf format originally?

The data is a spatial grid, with layers that hold monthly climate data over
a period of approximately 100 years. (There is one such file for each of 5
climate variables) I would like to generate a SOM where the vectors used to
train the map include both the spatial and temporal distributions of all of
the climate variables.

My guess is that this will use supersom - but I don't know how to read the
.nc file in, and then reformat it so that supersom knows what constitutes a
vector for SOM training purposes.

I have only just begun this attempt - so even just some links to more
information would be most welcome. I have the Wehrens and Buydens 2007 paper
from the Journal of Statistical Software which describes the Kohonen
package, but I don't know how to get my data into a format Kohonen can use.
I have used the data in the Raster package before, and, of course, ncdf.

Elizabeth
____________________
Elizabeth Crisfield
Research Assistant
Geography Department
Penn State University
phone 814-777-3395
eac16@psu.edu
www.elizabethcrisfield.com

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