Geospatial-based data and knowledge driven approaches for burglary crime susceptibility mapping in urban areas

• Main Author: Noor Azmy, Suzanna
• Format: Thesis
• Language: English
• Published: 2020
• Subjects: G70.212-70.215 Geographic information system; HT101-395 Sociology, Urban
• Online Access: http://eprints.utm.my/id/eprint/98418/1/SuzannaNoorAzmyPFABU2020.pdf; http://eprints.utm.my/id/eprint/98418/; http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:143025
• Institution: Universiti Teknologi Malaysia

The Damansara-Penchala region in Malaysia, is well-known for its high frequency of burglary crime and monetary loss based on the 2011-2016 geospatial burglary data provided by the Polis Diraja Malaysia (PDRM). As such, in order to have a better understanding of the components which influenced the bu...