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AreYouSafe
How It’s Made
State of Crime Data
Transparency in US
@sobelito
1
2
3
Census Groups
Sacramento
Boundary
Polygon
843
Sexual Abuse
10,062
Theft
719
Homicide
305
Arson
8369
Assault
4780
Drugs
5719
Stolen Auto
9826
Burglary
27,554
Misc
138
Prostitution
316
Theft from Auto
3227
Vandalism
1191
Robbery
Acquire Standardize Geocode
Apply Grid Calc Raw Score Reported
Crime Heat Map
Murder  Homicide
Shoplifting  Theft
Address  Lat/Long
Create/QA
Safety Heat
Map
Lay Census
Groups
Calc Score
Per Capita
Apply Curve
Mobilize Release
# ppl / sq mi.
* raw score
Population: 8.3 Million
Population: 460,000
Population: 2.9 Million
Sacramento…huh?
vs.
Incident Data: Addresses, Crime Types
=
=
Chicago 2.8 M - - -
None / Fax
Request
Form
New York City 8.3 M Precinct Weekly
Philadelphia 1.4 M Block Daily
Max 500
Records
Dallas 1.2 M Address Daily
Washington, DC 588,000 Address Daily
Data Granularity
Data Form
at(s)
Update Frequency
Population
Restrictions
CrimeTypeAttributes
Cities
Washington, DC 588,000
Milwaukee 602,000
Atlanta 519,000
Sacramento 460,000
Dallas 1.2 M
Indianapolis 795,000
Houston 2.2 M
Seattle 594,000
Philadelphia 1.4 M
Chicago 2.8 M
San Francisco 764,000
New York City 8.3 M
Los Angeles 3.8 M
Detroit 917,000
Boston 599,000
Grade
Data Granularity
Data for Download
Online Crim
e M
aps
GIS Departm
ent
Live 911 Feeds
Poor Excellent
*Ratings as of August 9th
, 2009
**Population Source: U.S. Census Bureau
A
B
B
B
B
Population
C
C
C
C
D
D
D
D
D
D
Indianapolis
Houston
Seattle
Philadelphia
Milwaukee
Atlanta
Sacramento
Dallas
Washington, DCChicago
San Francisco
New York City
Los Angeles
Detroit
Boston
Photo: Human evolution by Tkgd2007 is licensed under a Creative Commons Attribution ShareAlike 3.0 Generic license.
Data Availability
Innovators /
Solution Providers
1
0
1
1
1
1
Data CrowdGov
Five Finger Discount Anyone?
There was a theft 41 ft. from here
on 10/9/2008. The exact location
was 800 Mt. Vernon Place NW…
an unknown suspect stole the
listed property from Hall-C.
Contact Info & URLS
http://www.AreYouSafeDC.com
http://www.AreYouSafeAtlanta.com
http://www.AreYouSafeSacramento.com
http://www.AreYouSafeMilwaukee.com
http://www.AreYouSafeIndianapolis.com
help@InnovationGeo.com
@areyousafe

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AreYouSafe? -- Municipal and Federal Data Extraction, Mash-up, and Visualization

Notas do Editor

  1. Hi there. Introduction to AYS Willy Wonka Get on my soap-box and pontificate about the state of crime data transparency in the us
  2. AYS is a hand held gieger counter for crime 1) Tell you your relative safety to toher parts of the city 2) tells you w/in a 2 block radius it the amount of reported crimes broken by type 3) lastly, tells you the closest crime to your location in the year prior It automatically updates as you move, or you can type in addresses manually
  3. Live in these cities These soon to follow User demographics and Q’s they ask themselves
  4. Specifically: L+S: car theft Hoosiers/Hinkle: pretty d=safe Walter/Robberies: Assault:
  5. It’s a data driven app Sources are both Federal census data And municipal crime incidents You are looking at sacramentos 76,000 ‘08 crime incidents, broken out by type
  6. Tech stack we use (from upper left) for: Geocoding Visualization QA Mobilization Processing Hosting Development Polish
  7. Aquire (via download, or social engineering) Std on crime types across cities Geocode the addresses (getting precise lat/long for each incident) Lay a grid over the entire city For each on of those grid points, we calc a score based on severity and quantity of crimes Output a reported crime heat map
  8. Lay census groups over the city For each grid point we mult score from b4 * ppl / sq mile Apply a curve for eq distribution of levels Output and QA the heatmap Mobilize it Utilize social media tools/forums to get the word out
  9. One on the most frequent q’s we are asked is: “when r u coming to my city [boston/ny/detroit/chicago]?” “Why not [boston/ny/detroit/chicago]” Well, We go where the data is, And, the overwhelming majority of cities have not made the data publicly available, and in the required levels of granularity and format So what are those formats, and levels of granutalty?
  10. AYS is about a hyperlocal information how safe am I at this street corner, NOT how safe am I in brookyln [Thus one needs] to do that we need un-summarized, incident specific data, + those incidents [at a minimum] need addresses and crime types
  11. The availability of “RAW DATA” is directly proportional to ability to craft rich “data driven” solutions Starting with a cities onlinemap, or pdf, is like trying to extract the ingredients from a chili Solution providers need a municipalities raw ingredients
  12. Some examples of what cities make avail for download: Chi – fax request form fail NYC – PDF of precient level data DC – any fromat you want, adress level detail, updated daily
  13. Lack of data Standardization, complicates the aim of creating a reusable solution spanning mult cities [Means more time spent pre-processing data] MKE: would use up to 5 offense per each incident SAC: had 621 more crime types than MKE (MKE=36, SAC=657) ---- In defining the type of crime, the number of attributes, the attribute names, and content were all diff for each of the respective cites we processed
  14. This is a fun slide Shows us the various crime attributes cities used to desc crimes ATL: DAL: DC/DAL: IND/SAC: bare bones
  15. Sampling of some of the crime portals: don’t have to have a fancy site, one link download will do PHL: allows downloads, but only 500 at a time [,per spec addr] SAC: Data back to 1997, mult formats DC: easiest to nav, many formats and flavors of crime incident data ATL: back to 2004, easy to locate data IND: Kinda hard to navigate per year text file
  16. Crime Data Transparency Report Card Note inversely proportional relationship btw high grades and population Equation derived from: Maturity of GIS dept Data avail for download Granularity of data avail
  17. Simpler view of the current evolved state of various cities “crime data transparency” Some cities are halted, Some are evolving quickly, And some are “kicking ass/butt”
  18. Here we share some commentary on the gov2.0 paradigm We believe that cities should focus their energies on collecting and freeing data, and let the crowd take it from there we see Data availability as the biggest bottleneck to the inevitable explosion of enabling applications
  19. Are you safe right here in room 146?
  20. Open letter
  21. Hi there. Introduction to AYS Willy Wonka Get on my soap-box and pontificate about the state of crime data transparency in the us