one week till final review, and it's time to figure out how we got where we got, and where we need to go. the project explores the potentials of mapping an unampped demographic [the homeless] through the lens of GIS. in an attempt to pin down the patterns of a migratory population, we find the census's current procedures for counting transient populations produce numerous discrepancies/inaccuracies. this reveals gis's tendency to concretize the temporal. by working with TINS [relational data sets] and re-inputting new time sensitive data collected about the ameneties relevant to a certain population, GIS can be used to identify LATENT COMMUNITIES.
the drawing shows latent HOTSPOTS, or areas of the city particularly rich with amenities of use to the homeless. the green tin is derived from the amount of time soup kitchens open through the year relative to proximity of vacant parcels in the city. the chartreuse is based on bus route proximity to public parks.
the next step is to clarify what all this means for the way we think about the city in general, as well as what types of urban proposals we might suggest based on our findings.
3 comments:
Want to eat that triangulation for breakfast....... yum. Can't wait to see how you leap from this.
I wanna see a different view!
I see. The only question I really have:
Which seems to have a greater/richer impact on the area in question or just your questions during this research, areas of the greatest density of different data(that you know) or just the areas with the greatest mass or highest peaks? (which I assume equals the unknown data?)
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