While experimenting with different GIS techniques, I aimed to draw relationships between two economic data sets: unemployment, and number of families. I created a TIN of unemployment along the rail line, and a TIN of families in relation to local soup kitchens. By overlaying these TINS and splitting line graphs in Rhinoceros, I was able to create three dimensional graphs which represent the data sets across space. When these spatial graphs are overlayed, it starts to suggest which conditions are prevalent in different areas and also where the two data sets begin to coincide.
Setting aside the inherent issues with combining these specific data sets, what are some other directions or possibilities a graph like this could begin to reveal? Is this really any more effective at revealing latent relationships than the TIN or a basic line graph?
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