SPATIOTEMPORAL ANALYSIS OF WILDFIRE OCCURRENCE IN PERLIS FROM YEAR 2014 TO 2024

Abstract

Wildfires adversely impact the economy and the environment globally. A varied combination of natural, anthropogenic, and climatic factors influences the frequency, intensity, and location of occurrences. Thus, this study aims to examine the decadal pattern of wildfires in Perlis. This study analyses the frequency and density of wildfire incidents from year 2014 to 2024, utilizing fire incident statistical data acquired from Perlis State Fire and Rescue Department. Spatial mapping and statistical analysis were employed to demonstrate the spatiotemporal patterns of fire incidents. Kernel Density Estimation (KDE) was carried out to highlight the hotspot region across Perlis state. The analysis of fire case distribution and density was segregated into three political boundaries. The results demonstrate that the patterns of fire outbreaks fluctuated between years. However, there is a significant increase in the number of fire outbreaks from year 2022 to 2024. The temporal analysis illustrates that most of the stipulated years recorded the highest number of fire cases in March. While the spatial analysis revealed that Kangar and Padang Besar experienced a moderate to very high density of cases, this study provides policymakers, land managers, and researchers with essential knowledge regarding the mechanisms of long-term wildfires, grounded in robust evidence. This understanding can assist in reducing the likelihood of wildfires and safeguarding ecosystems and populations in a changing climate.