Geospatial Mapping Of Strongest Typhoon And Casualties With Predictive Analysis Using Linear Regression
DOI:
https://doi.org/10.64252/8mb26h11Keywords:
Typhoons, Philippines, Geospatial Mapping, Linear Regression, Disaster Management, Casualties, Predictive Analysis.Abstract
This study examines the strongest typhoons in the Philippines between 2013 and 2022, analyzing their paths, wind speeds, and casualties. Using geospatial mapping and linear regression, we predict future typhoon trajectories and identify high-risk areas. Eastern Visayas emerges as the most affected region, highlighting the need for targeted disaster preparedness. The findings offer valuable insights for disaster management agencies to enhance resilience and reduce casualties in typhoon-prone areas, especially in light of increasing storm intensity due to climate change.
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Published
2025-07-02
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Articles
How to Cite
Geospatial Mapping Of Strongest Typhoon And Casualties With Predictive Analysis Using Linear Regression. (2025). International Journal of Environmental Sciences, 2087-2092. https://doi.org/10.64252/8mb26h11