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1 and 2 are now done. 3 has some comparisons in the do file/log file, in terms of hull counts, hull areas, number of startups in hulls, hull densities, etc. We should absolutely use these (the medians and the means?) but I will also build some layer index scatter plots. I think I'll also try to render some city-year (perhaps Portland-2018) using each of the lenses too. I haven't done the heatmap(s) yet.
 
====Heatmaps====
 
I build '''unbuffered heatmaps using maximum R2 layers from 1995 to 2018''' for a set of "interesting" cities. I often built the same city at multiple scales. Only the zoomed-in maps are in the gallery below. I can now quite quickly build more cities if needed. It is worth noting the following:
*Because we are using unbuffered hulls, heatmap components are angular and non-diffuse.
*Agglomerations are smaller in cities with higher startup counts but are small everywhere.
*Agglomerations don't come close to overlapping city boundaries. Agglomerations within Palo Alto don't overflow into Mountain View and it isn't meant meaningful to talk about Boston-Cambridge agglomerations, except as a broad set. An agglomeration is typically a few square blocks (we knew this from the mean and median hull sizes).
*Some famous policy interventions appear to have no effect. There is no agglomeration, let alone a concentration of them, in Boston's North End, where hundreds of millions were plowed into a TIF (and MassChallenge).
 
<gallery widths=300 heights=300>
File:Bellevue125000MaxR2UnbufferedHeatmap.png| Bellevue, WA, 1:125k
File:PaloAlto50000MaxR2UnbufferedHeatmap.png| Palo Alto, CA, 1:50k
File:Boulder50000MaxR2UnbufferedHeatmap.png| Boulder, CO, 1:50k
File:Waltham65000MaxR2UnbufferedHeatmap.png| Waltham, MA, 1:65k
File:Boston50000MaxR2UnbufferedHeatmap.png).png| Boston, MA, 1:50k
</gallery>
====Comparing the Methods====

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