期刊名称：Asia Pacific Journal of Multidisciplinary Research
印刷版ISSN：2350-7756
电子版ISSN：2350-8442
出版年度：2018
卷号：6
期号：3
页码：82-90
出版社：Lyceum of the Philippines University - Batangas
摘要：Hotspots in crime analysis are regions that require attention from law enforcement, perhaps
through increased allocation of resources or location-specific patrolling custom-made to hotspot features. The
purpose of the study was to develop a graphical information system (GIS) which identifies the different hotspots
of crimes that occurred in the year 2017 throughout the cities of Caloocan, Malabon, Navotas and Valenzuela
(CAMANAVA) using MarkerClusterer clustering algorithm along with spatial and temporal analysis to cluster
occurrence of crime together in certain areas and periods, and to provide a recommendation for that hotspot.
The developmental research design was adopted by the proponents to satisfy the research problem, along with
the Knowledge Discovery in Database (KDD) during the development of the system. Nine (9) crime types were
observed, namely; car/motor-napping, drug-related incidents, homicide, murder, physical injuries, rape,
robbery, theft and vehicular accidents. A total of 12,784 occurrences of crimes was observed, and vehicular
traffic accident occurred the most which accounts for 63.97% of the total 12,639 crime occurrences in
CAMANAVA during the year 2017. Hourly distribution varied depending on the crime observed, daily
distribution did not show much variation but monthly distribution showed that August is the month when most
crimes occurred. The proponents recommend that future research may include impact of socioeconomic and
environmental factors in crimes, plus data mining techniques that could be able to forecast crime based on the
hotspots that were generated.
关键词：Crime Hotspots; Spatio-Temporal Analysis; Geographic Information System (GIS);;
MarkerClusterer Algorithm; CAMANAVA Crimes
