Spatiotemporal modelling of typhoon severity using backfitting cochrane-orcutt estimation

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ID: 286877
2022
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Abstract
As one of the world’s most disaster-prone countries, Filipinos are heavily affected by the aftermath of natural disasters. Thus, this research aims to address the effects of socioeconomic and climatological factors on the severity of typhoons in the Philippines, as measured by the affected population, so as to improve disaster resilience in the country. A spatiotemporal model was fitted to the 2018 monthly data provided by NDRRMC, PSA, and PAGASA. Afterwards, a backfitting algorithm embedded with the Cochrane-Orcutt procedure was used to estimate the parameters. This model proved the significance of food expenditure and rainfall amount in measuring typhoon severity. Further, applying a spatiotemporal model using these significant variables is seen to be the best fit in the data. These results will be of great benefit to Filipinos and researchers alike as they would get a better understanding of the effects of typhoons in the Philippines.
Reference Key
persistent_1760659931_68f189db11f4f Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Santos, Mikaela Angela Cariaga
Journal Malay Journal
Year 2022
DOI
DOI not found
URL
https://animorepository.dlsu.edu.ph/etdb_math/9
Keywords Keywords not found

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