I have an interesting question I hope someone here can help me with. I have access to ESRI software (ver 9.1) and Manifold 6.5 but willing to use any type of code, script, etc..., that might help.
I have 20 years of monthly data. These data are global observations and are gridded at 0.1 degree resolution. The data are highly clustered. (Imagine a global map with scattered data points and about 10 - 20 easily identifiable clusters.) However, the clusters move (both the intensity and breadth/deviation) through time. (Probably in a annual cyclic pattern.) How can I track these clusters?
For example, there may be a high concentration of obs in NorthEast US in Summer. During the Fall and Winter, the cluster moves south and becomes less dense, more scattered. Then, it begins increasing density and moving north again in the Spring. Does that make sense?
One thought is to convert each monthly grid into point data, and create kernel density maps. Then, after applying the a common classification to all months, create an animation then goes through all years. This visually shows how the clusters move, but I would like a more quantitative measure. Thanks for any thoughts you might have.
- John _______________________________________________ gislist mailing list gislist@lists.geocomm.com http://lists.geocomm.com/mailman/listinfo/gislist
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