Demo: US and UK Crime Data

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Infobox (stable demo) edit with form
  • name: Demo: US and UK Crime Data

  • description: This application presents information related to crimes in the United States and compares it with crime information from the United Kingdom.
  • creator(s): Alvaro Graves
  • created: 2010/05/09
  • modified: 2010-5-18

live demo here live demo here

Facts about this Demonstration

Live Demo(s)
Video Demo(s)
Data.gov Data source(s)
Other Data source(s)
Technology Used
Related SPARQL
Related Demo(s)


Description

This demo uses data available at Dataset_311 from data.gov and from Police API for UK data. Several interesting things are noticed: First, the classification of crimes is different for each country. There are certain similarities, such as 'Burglary' and 'Robbery', however others are not easy to be matched (for example, 'Vehicle theft' and 'Vehicle crimes' are similar but not the same). Another point is the granularity of data available in the UK: It is possible to select a whole police area force, a city or a particular subarea. For the case of the US, we considered only cities.

We also allow users to divide the number of events occurred by the location's population. In this way we can do a comparison of events per person instead of considering only totals.

Facts about Demo: US and UK Crime DataRDF feed
Data sourceDataset 311  +, and PoliceAPI.rkh.co.uk  +
Dcterms:created9 May 2010  +
Dcterms:creatorAlvaro Graves  +
Dcterms:descriptionThis application presents information related to crimes in the United States and compares it with crime information from the United Kingdom.
Dcterms:modified2010-5-18
Foaf:depictionhttps://data-gov.tw.rpi.edu/w/images/3/38/Usukcrimes.png  +
Foaf:nameDemo: US and UK Crime Data
ImageUsukcrimes.png  +
Live demohttp://data-gov.tw.rpi.edu/demo/linked/demo-311-cities.php  +, and http://data-gov.tw.rpi.edu/demo/linked/demo-311-cities-all.php  +
Skos:altLabelDemo: US and UK Crime Data  +, demo: us and uk crime data  +, and DEMO: US AND UK CRIME DATA  +
Technology usedRDF  +, SPARQL  +, JSON  +, Google Visualization API  +, and PoliceAPI  +
Video demohttp://www.youtube.com/watch?v=wxb2uTBEvOo  +
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