Geospatial Mapping Of Strongest Typhoon And Casualties With Predictive Analysis Using Linear Regression

Authors

  • Jorton A. Tagud Author
  • Lesther M. Escabosa Author
  • Janrey G. Cello Author
  • Jose C. Agoylo Jr Author
  • Marion Jhon C. Agapay Author

DOI:

https://doi.org/10.64252/8mb26h11

Keywords:

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

Issue

Section

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