Difference between revisions of "Group 11 Overview"

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<h1>Motivation</h1>
 
<h1>Motivation</h1>
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Conservative party leader David Cameron coined the term "age of austerity" in his 2009 keynote speech to the Conservative Party Forum. The birth of that term is the harbinger of the relentless cut of the police funding that would persist til this day. As a result, number of police across the country plummeted by 14% between 2009 and 2016 and conversely, crime rate has increased.
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Based on UN’s Survey of Crime Trends published in 2006, comparisons were made for OECD countries by CIVITAS Institute for the Study of Civil Society. Comparisons are based on six of the most serious crimes: intentional homicide, rape, robbery, assault causing serious bodily harm, burglary and vehicle theft.
  
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As such, the utilization of police resources has to be optimised to fight the raising crime in difference regions of the country. This project aims to provide a visualisation of the crime rate across the UK and, perharp more importantly, reveal some insight of the crimes in the UK.
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England and Wales have one of the highest crime rates among OECD countries for rape, robbery, assault and burglary. We therefore aim to investigate the spatial variation of crime across different districts in England and Wales, and the relationship between crime and socio-economic characteristics for each district.
  
 
<h1>Dataset</h1>
 
<h1>Dataset</h1>
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</ul>
 
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<h1>Visualisation/Aanlysis</h1>
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<h1>Visualisation/Analysis</h1>
  
 
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   <li>Parallel plot</li>
 
   <li>Parallel plot</li>
 
   <li>Time series analysis</li>
 
   <li>Time series analysis</li>
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  <li>Regression</li>
 
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</ul>
  
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<h1>Statistical and visualisationTools</h1>
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<h1>Statistical and Visualisation Tools</h1>
  
 
<ul>
 
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Latest revision as of 00:41, 4 December 2017

Motivation

Based on UN’s Survey of Crime Trends published in 2006, comparisons were made for OECD countries by CIVITAS Institute for the Study of Civil Society. Comparisons are based on six of the most serious crimes: intentional homicide, rape, robbery, assault causing serious bodily harm, burglary and vehicle theft.

England and Wales have one of the highest crime rates among OECD countries for rape, robbery, assault and burglary. We therefore aim to investigate the spatial variation of crime across different districts in England and Wales, and the relationship between crime and socio-economic characteristics for each district.

Dataset

Datasets from data.police.uk will be analysed and visualised.

The main datasets of interest are:

  •   Stop and search dataset
  •   Crime Data
  •   Outcome Data
  •   Shape of police force boundaries
  •   Shape of neighbourhood boundaries

Secondary dataset includes people, population and community data from Office for National Statistics.

  •   Health and socialcare
  •   Housing
  •   Income and wealth
  •   Shape of police force boundaries
  •   Population

Visualisation/Analysis

  • Choropleth map (Temporal and Spatial)
  • Clustering
  • Parallel plot
  • Time series analysis
  • Regression

Statistical and Visualisation Tools

  • R
  • R Shiny
  • Bootstrap (Update from version 3 in shiny to version 4)
  • D3 (If alternatives in R is not available or not as rich/interactive)
  • Angular Js (For single page application routing and databinding)
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