Crime Mapping and Hotspot Analysis: Enhancing Women's Safety Through GIS

Crime Mapping and Hotspot Analysis: Enhancing Women's Safety Through GIS

Copyright: © 2024 |Pages: 15
DOI: 10.4018/979-8-3693-1435-7.ch003
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Abstract

In a time when safety is still of the highest importance, especially for vulnerable groups like women, this chapter analyzes the powerful intersection of crime mapping, hotspot analysis, and geographic information systems (GIS) to strengthen and increase protection. This chapter examines how GIS may be a flexible tool to understand and prevent crimes against women. The chapter begins by laying the framework for understanding women's many safety challenges, stressing the need for a comprehensive strategy. It then deepens the reader into crime mapping while highlighting GIS's significant role in displaying and interpreting spatial data. It uses illustrative examples to show how mapping may be used to uncover the spatial and temporal patterns of crime that affect women. This chapter focuses on locating and identifying areas where women may be at a higher risk of becoming victims of crime. By analyzing the complex analytical methodologies and algorithms utilized for hotspot detection, this chapter offers insights into predictive modeling for preventive safety measures.
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1. Introduction

Many elements are at play in India that all add up to a severe problem with crime. While it is crucial to track criminal activity and bring those responsible to justice, the conventional approaches of assessing crime statistics across discrete periods may be inadequate to deal with the nation's complex nature of illegal activities. Crime mapping plays a crucial role in the country to track down criminals and deduce their methods of operation across multiple Indian states. This preventative method aids law enforcement in identifying hotspots where criminal organizations or individuals operate. Criminal behavior is a social disease with many causes, including but not limited to education, economic status, and personal grudges. It is affected by demographic characteristics such as age, religion, and race, as well as by socioeconomic factors such as family income, educational attainment, job position, and poverty levels. The geographical context of criminal activity may be better understood by delving into the complex interaction between these factors and the offenses committed.

Geographic Information System (GIS) technology has been more critical in recent years for social crime prevention systems in India. Current GIS technology not only helps in analyzing crimes but also aids in formulating measures to stop them. The geographical study made feasible by GIS contributes to developing more effective community policing, which is not the only purpose. By creating spatial profiles and providing case-specific assistance, GIS for crime mapping provides an essential foundation for criminal investigative analysis for law enforcement. Indian law enforcement authorities are given a leg up by these GIS-enabled crime maps regarding strategic planning, trend analysis, and resource allocation.

Theft, robbery, burglary, auto theft, abduction, sexual assault, and murder are some topics covered in this extensive analysis. The police can better target criminal groups by identifying crime “hotspots” based on years of crime statistics. For in-depth crime investigation, the system logs GPS locations for occurrences and uses mapping applications with color-coded representations. The foundation of this mapping effort is a Geographic Information System (GIS). It includes collecting, storing, converting, exploring, and visualizing geographical information. Geographically referenced information, known as geospatial data, pinpoints a specific spot on Earth and describes its topographical elements, including highways, landscapes, and plants.

Physical landscapes and topography significantly affect the nature and distribution of criminal activities, making geography a crucial factor in influencing crime trends. A region's crime rate is significantly affected by its accessibility, transportation networks, economic profile, and political atmosphere. The setting has a defining role in criminal behavior at home, work, or other nearby locales. Crime patterns change through time and geography; thus, it is essential to employ geographic information system (GIS) maps and spatial crime patterns to track and understand these dynamics. Allocating resources wisely is essential for preventing and fighting crime effectively, and geographic information systems (GIS) provide a valuable tool for creating crime maps and providing solutions through crime analysis, including identifying clusters and hotspots.

As a result of GIS's ability to quickly obtain and interpret location-based data from numerous sources, government agencies may more efficiently and accurately allocate their available resources. Geographic information systems (GIS) aid in mapping high-crime regions by performing spatial and statistical studies such as neighborhood and correlation analyses. Additionally, geospatial technologies capture spatial heterogeneity in criminal activities and security resources, allowing for a spatial link between occurrences in targeted areas. The efficient analysis of remote sensing technology has enormous promise for law enforcement authorities conducting criminal investigations.

Reducing high-crime clusters is a top priority for agencies investigating criminal activity. Even in the absence of typical criminals, law enforcement may use geographical analysis, interpolation, and spatial autocorrelation to pinpoint high-crime zones, where they can then focus on resolving the underlying societal concerns that lead to criminal activity. Crime clustering examines patterns of criminal behavior within a specific crime rate using a data-mining lens. Insights gained from analyzing these groups may be used to categorize crime trends and patterns better. By identifying crime locations, crime analysis aids law enforcement in minimizing, preventing, and solving crime.

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