Back to articles
Proceedings Paper
Volume: 36 | Article ID: VDA-364
Image
Data Analysis and Visualization of Crime Data
  DOI :  10.2352/EI.2024.36.1.VDA-364  Published OnlineJanuary 2024
Abstract
Abstract

The rise in crime rates over the past few years is a major issue and is a huge source of worry for police departments and law enforcement organizations. Crime severely harms the lives of victims and the communities they live in many places throughout the world. It is an issue of public disturbance, and large cities often see criminal activity. Many studies, media, and websites include statistics on crime and it is contributing elements, such as population, unemployment, and poverty rate. This paper compares and visualizes the crime data for four different cities in the USA, namely Chicago, Baltimore, Dallas, and Denton. We assess areas that are significantly affected based on zip codes and variations in crime categories. As the crime rates have significantly changed both upward and downward throughout time, these changes are compared to their external causes such as population, unemployment, and poverty. The results show crime frequency and distribution across four different cities and supply valuable information about the complex relationship between social factors and criminal behavior. These results and outcomes will help the police department and law enforcement organizations better understand crime issues, map crime incidents onto a geographical map, and supply insight into factors affecting crime that will help them deploy resources and help in their decision-making process.

Subject Areas :
Views 441
Downloads 180
 articleview.views 441
 articleview.downloads 180
  Cite this article 

Sharad Sharma, Sri Chandra Dronavalli, "Data Analysis and Visualization of Crime Datain Electronic Imaging,  2024,  pp 364-1 - 364-6,  https://doi.org/10.2352/EI.2024.36.1.VDA-364

 Copy citation
  Copyright statement 
Copyright © 2024, Society for Imaging Science and Technology 2024
ei
Electronic Imaging
2470-1173
2470-1173
Society for Imaging Science and Technology
IS&T 7003 Kilworth Lane, Springfield, VA 22151 USA