Do you have any overall objective, such as maximizing the sum of ValueN over
the grouped neighbours or minimizing the number of ID values which do not
get grouped? Or are you willing to let ID=1,2, etc., apply this decision
rule successively, and accept whatever is the result?
On Wed, 10 Jul 2002 15:29:45 GMT, N Yiannakoulias <nwy@SRV.UALBERTA.CA>
>I have a large data set which represents a 2 dimensional
>grid over a geographic area. I've built an adjacency
>file of this grid that looks like this:
>ID NID ValueN
>1 2 65
>1 6 26
>2 1 26
>2 3 30
>2 7 2
>3 2 65
>3 4 34
>3 8 88
>and so on...
>ID is an identifier for each grid
>NID is a neighbour's ID
>ValueN is a value associated with a neighbour
>Now, I want to group adjacent records such that starting
>with area 1 (represented by ID=1) the adjacent area with
>the largest ValueN is grouped with this area (ID=1).
>Once a neighbour is grouped, it can no longer be a part
>of any other group. _This is where I get stuck_. For
>example, NID=2 meets the condition for area 1. As a
>result, records with NID=2 AND ID=2 should be removed
>from the dataset as I proceed with grouping. I haven't
>been able to do this successfully. Can anyone offer
>any advice? It seems pretty trivial, but maybe it isn't?