ADVANCED CRIME MAPPING TECHNIQUES EMPLOYED BY THE PNP LUCENA CITY

This study explored the advanced crime mapping techniques employed by the Philippine National Police (PNP) in Lucena City, focusing on their effectiveness and the challenges encountered in their implementation. The research sought to understand how Geographic Information Systems (GIS), predictive analytics, and hotspot analysis contribute to law enforcement efforts in crime prevention and resource allocation. A descriptive quantitative approach was utilized, allowing for the collection of numerical data through surveys and structured questionnaires distributed among PNP officers in Lucena City. Respondents were selected through random sampling to ensure diverse representation. Data were analyzed using statistical methods, including weighted mean and percentage distribution. Findings indicate that advanced crime mapping techniques significantly enhance crime detection, trend analysis, and strategic deployment of law enforcement resources. However, challenges such as budget constraints, outdated technology, data privacy concerns, and limited personnel training hinder their full potential. Despite these limitations, the study highlights the crucial role of crime mapping in modern policing and emphasizes the need for increased investment in technology and training. This research contributes to the field of criminology by providing insights into the practical applications of crime mapping in local law enforcement. It underscores the importance of integrating advanced technological tools to improve crime prevention strategies, ultimately fostering safer communities. The findings also serve as a reference for policymakers, law enforcement agencies, and future researchers aiming to enhance crime mapping methodologies.