Datasets of Fire and Crime Incidents in Pampanga, Philippines

  • John Paul P. Miranda College of Computing Studies, Mexico Campus, Don Honorio Ventura State University, Philippines
  • Julieta M. Umali College of Computing Studies, Mexico Campus, Don Honorio Ventura State University, Philippines
  • Aileen P. de Leon College of Computing Studies, Mexico Campus, Don Honorio Ventura State University, Philippines

Abstract

Purpose – The fire and crime incident datasets were requested and collected from two Philippine regional agencies (i.e., the Bureau of Fire Protection and the Philippine National Police). The datasets were used to initially analyze and map both fire and crime incidents within the province of Pampanga for a specific time frame.

Method – Several data preparation, normalization, and data cleaning steps were implemented to properly map and identify patterns within the datasets.

Results – The initial results also indicate the leading causes of fire and crimes are rubbish and acts against property. Fires mostly occur during the dry season in the province. Crime is particularly high during December, and most of the fire and crime incidents occur during the time when people are most active.

Conclusion - The dataset was able to present the temporal characteristics of the fire and crime incidents that occurred in the province of Pampanga.

Recommendations - Merge the existing dataset with the other datasets from other related agencies to get a bigger picture and produce more objective results that could be used for decision-making.

Published
2023-02-05
How to Cite
MIRANDA, John Paul P.; UMALI, Julieta M.; DE LEON, Aileen P.. Datasets of Fire and Crime Incidents in Pampanga, Philippines. International Journal of Computing Sciences Research, [S.l.], v. 7, p. 1637-1646, feb. 2023. ISSN 2546-115X. Available at: <//stepacademic.net/ijcsr/article/view/369>. Date accessed: 22 dec. 2024.
Citation Formats
Issue
Vol 7 (2023): Volume 7
Section
Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.