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An	
  Invitation	
  to	
  Cease	
  and	
  Desist	
  
“We	
  need	
  Census	
  data!”	
  

	
  
-­‐Every	
  Sales	
  Manager,	
  everywhere	
  
+10	
  
Difference	
   in	
   the	
   percentage	
   of	
   the	
   total	
  
population	
  that	
  is	
  male	
  around	
  each	
  location	
  with	
  
all	
  of	
  Manhattan	
  (47%)	
  (percentage	
  points)	
  

-­‐4	
  
+6	
  

-­‐8	
  

-­‐4	
  

Difference	
   in	
   the	
   percentage	
   of	
   the	
   total	
  
population	
   that	
   is	
   female	
   around	
   each	
   location	
  
with	
  all	
  of	
  Manhattan	
  (53%)	
  (percentage	
  points)	
  
+4	
  

Difference	
  in	
  the	
  percentage	
  of	
  the	
  total	
  population	
  
that	
   is	
   White,	
   non-­‐Hispanic	
   around	
   each	
   location	
  
with	
  all	
  of	
  Manhattan	
  (48%)	
  (percentage	
  points)	
  

-­‐5	
  
0	
  

-­‐12	
  

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)	
  
+25	
  

Difference	
   in	
   the	
   percentage	
   of	
   housing	
   that	
  
is	
   owner-­‐occupied	
   around	
   each	
   location	
   with	
  
all	
  of	
  Manhattan	
  (22%)	
  (percentage	
  points)	
  

-­‐20	
  
+25	
  
Difference	
   in	
   the	
   percentage	
   of	
   housing	
   that	
  
is	
  renter-­‐occupied	
  around	
  each	
  location	
  with	
  
all	
  of	
  Manhattan	
  (74%)	
  (percentage	
  points)	
  

-­‐20	
  
Of	
   c ourse	
   n ot,	
   i t’s	
   a 	
   h ack,	
   b ut…	
  
—  PostgreSQL	
  
—  PostGIS	
  
—  Quantum	
  GIS	
  (QGIS)	
  
—  Pandas/Matplotlib	
  
—  iPython	
  Notebook	
  
—  OpenStreetMaps	
  

datapolitan@gmail.com	
  /	
  richard.dunks@nyu.edu	
  	
  
@rdunks1	
  /	
  @datapolitan	
  
blog.datapolitan.com	
  
Come	
   t alk	
   t o	
   m e	
  

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Big Gulp Demographics: Using Spatially Weighted Sums in Manhattan

  • 1. An  Invitation  to  Cease  and  Desist  
  • 2. “We  need  Census  data!”     -­‐Every  Sales  Manager,  everywhere  
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13. +10   Difference   in   the   percentage   of   the   total   population  that  is  male  around  each  location  with   all  of  Manhattan  (47%)  (percentage  points)   -­‐4   +6   -­‐8   -­‐4   Difference   in   the   percentage   of   the   total   population   that   is   female   around   each   location   with  all  of  Manhattan  (53%)  (percentage  points)  
  • 14. +4   Difference  in  the  percentage  of  the  total  population   that   is   White,   non-­‐Hispanic   around   each   location   with  all  of  Manhattan  (48%)  (percentage  points)   -­‐5   0   -­‐12   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)  
  • 15. +25   Difference   in   the   percentage   of   housing   that   is   owner-­‐occupied   around   each   location   with   all  of  Manhattan  (22%)  (percentage  points)   -­‐20   +25   Difference   in   the   percentage   of   housing   that   is  renter-­‐occupied  around  each  location  with   all  of  Manhattan  (74%)  (percentage  points)   -­‐20  
  • 16. Of   c ourse   n ot,   i t’s   a   h ack,   b ut…  
  • 17.
  • 18.
  • 19.
  • 20. —  PostgreSQL   —  PostGIS   —  Quantum  GIS  (QGIS)   —  Pandas/Matplotlib   —  iPython  Notebook   —  OpenStreetMaps   datapolitan@gmail.com  /  richard.dunks@nyu.edu     @rdunks1  /  @datapolitan   blog.datapolitan.com  
  • 21. Come   t alk   t o   m e