| The best way to bin data to a grid? (may not be an IDL-specific question) [message #78743] |
Sun, 11 December 2011 15:19 |
Jasdeep Anand
Messages: 16
Registered: August 2011
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Junior Member |
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Hi all,
I have some satellite data I'd like to bin to a high-resolution 2D
grid for plotting and/or other analytical purposes. Each data point
that I have has a corresponding latitude and longitude of the centre
of the original pixel that the data was originally recorded from. The
grid I'm trying to assign this data to is of a much finer resolution
than what the data was taken from, so several data points may be
assigned to the same pixel, in which case I guess an average data
value will need to be assigned instead. To further complicate matters,
the data I want to bin is a global dataset of ~1500000 individual
points, spread over a number of ASCII files.
Are there any routines that can handle having input data this large?
Ideally I'd like to incorporate the binning process into the same loop
that extracts and reads the data from each file, but I think functions
like GRIDDATA require having all the data points to be gridded
available already when calling them. Also, are there any general
"housekeeping" tips that anyone can tell me about handling such data?
I'm still quite new to this, and would appreciate any pointers you all
could give me!
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