Big Gulp Demographics: Using Spatially Weighted Sums in Manhattan
21
An Invitation to Cease and Desist
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Presentation delivered on 13 Nov 2013 at LocationTech NYC on hacking census tract data to generate spatially weighted demographic data for user generated polygons. There's a few digs at the Census Bureau, a hidden secret to quickly finding vanilla demographics at various levels of aggregation (spoiler alert: it's the Demographic Profile table with pre-joined demographic data to geospatial features), and some thoughts on modeling residential patterns in census tracts.
Transcript of Big Gulp Demographics: Using Spatially Weighted Sums in Manhattan
An Invitation to Cease and Desist
“We need Census data!” -‐Every Sales Manager, everywhere
-‐4
Difference in the percentage of the total population that is male around each location with all of Manhattan (47%) (percentage points)
Difference in the percentage of the total population that is female around each location with all of Manhattan (53%) (percentage points)
-‐4
+10
-‐8
+6
Difference in the percentage of the total population that is White, non-‐Hispanic around each location with all of Manhattan (48%) (percentage points)
Difference in the percentage of the total population that is Black-‐African American, non-‐Hispanic around each location with all of Manhattan (13%) (percentage points)
-‐5
+4
-‐12
0
Difference in the percentage of housing that is owner-‐occupied around each location with all of Manhattan (22%) (percentage points)
Difference in the percentage of housing that is renter-‐occupied around each location with all of Manhattan (74%) (percentage points)
-‐20
+25
-‐20
+25
Of course not, it’s a hack, but…
� PostgreSQL � PostGIS � Quantum GIS (QGIS) � Pandas/Matplotlib � iPython Notebook � OpenStreetMaps
[email protected] / [email protected] @rdunks1 / @datapolitan blog.datapolitan.com
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