- #1
Paradise Lost
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My professor gave me data points representing living cells on a rectangular plane and was told to analyze their spatial pattern, i.e., do the date points on the finite plane have a tendency to be clustered, random, or dispersed. I successfully accomplished this for points on a continuous plane using the nearest-neighbor (NN) method but now he wants it done for points on a regular 2D lattice!
I know I cannot use the NN approach as it's not well suited for discrete space. Does some know of an equivalent method to NN but for a discrete lattice? I, do not know spatial statistics all that well and I have been searching books and the web for an appropriate method without success. Either what I read is too technical or I am mistaking what the methods can be used for. Any suggested would help a great deal.
Thank you
I know I cannot use the NN approach as it's not well suited for discrete space. Does some know of an equivalent method to NN but for a discrete lattice? I, do not know spatial statistics all that well and I have been searching books and the web for an appropriate method without success. Either what I read is too technical or I am mistaking what the methods can be used for. Any suggested would help a great deal.
Thank you