Geospatial-temporal analysis and classification of criminal data in Manila

• Main Authors: Baculo, Maria Jeseca C., Marzan, Charlie S., Bulos, Remedios De Dios, Ruiz, Conrado
• Format: text
• Published: Animo Repository 2017
• Subjects: Crime analysis > Philippines; Crime forecasting > Philippines; Geospatial data—Computer processing; Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2707
• Institution: De La Salle University

The use of technology on criminal data has proven to be a valuable tool in forecasting criminal activity. Crime prediction is one of the approaches that help reduce and deter crimes. In this paper, we perform geospatial analysis using the kernel density estimation in ArcGIS 10 to identify the spatio...