I know this is quite off topic... however it deals with numbers generated by a computer, so....
So I have some solar insolation values- 1 value per day for an entire year. the graph of solar insolation (y-axis) vs. day of year (x-axis) vary in shape - sometime looking very similar to a Gaussian distribution. I would like to characterize the relative fatness of these "Gaussian-like" graphs with something like a coefficient of variation... however, to the best of my knowledge things like the CV operate on frequency distributions, which in this case would only be characterizing the variation within the insolation values with respect to eachother. just for reference a sample image can be found here: http://169.237.35.250/~dylan/solar/index.html#more and if anyone is interested this is part of a dataset that was created and is being visualized with the open source GIS package called GRASS. (yeah for OSS!!) thanks in advance, and sorry about the slightly off topic (and probably bone headed) question... Dylan _______________________________________________ vox-tech mailing list [EMAIL PROTECTED] http://lists.lugod.org/mailman/listinfo/vox-tech
