Forecasting locations of forest fires in indonesia through nonparametric predictive inference with parametric copula: a case study

Wildfires caused major damage and incurred high restoration costs. Despite numerous predictive studies in this field, wildfire management still had uncertainties. The machine learning technique was popular on this topic, but it portrayed gaps of non-generalisable and inaccuracy possibilities. This s...

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Main Authors: Amirah Hazwani Roslin, Noryanti Muhammad, Evizal Abdul Kadir, Warih Maharani, Hanita Daud
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2025
Online Access:http://journalarticle.ukm.my/25780/
http://journalarticle.ukm.my/25780/1/237-251%20-.pdf
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author Amirah Hazwani Roslin,
Noryanti Muhammad,
Evizal Abdul Kadir,
Warih Maharani,
Hanita Daud,
author_facet Amirah Hazwani Roslin,
Noryanti Muhammad,
Evizal Abdul Kadir,
Warih Maharani,
Hanita Daud,
author_sort Amirah Hazwani Roslin,
building UKM Institutional Repository
collection Online Access
description Wildfires caused major damage and incurred high restoration costs. Despite numerous predictive studies in this field, wildfire management still had uncertainties. The machine learning technique was popular on this topic, but it portrayed gaps of non-generalisable and inaccuracy possibilities. This study intended to apply nonparametric predictive inference (NPI) with a parametric copula to predict the next wildfire location using the coordinate parameters. The NPI quantifies the uncertainties via imprecise probabilities, (
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institution Universiti Kebangasaan Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T01:06:01Z
publishDate 2025
publisher Penerbit Universiti Kebangsaan Malaysia
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spelling oai:generic.eprints.org:257802025-08-20T03:07:54Z http://journalarticle.ukm.my/25780/ Forecasting locations of forest fires in indonesia through nonparametric predictive inference with parametric copula: a case study Amirah Hazwani Roslin, Noryanti Muhammad, Evizal Abdul Kadir, Warih Maharani, Hanita Daud, Wildfires caused major damage and incurred high restoration costs. Despite numerous predictive studies in this field, wildfire management still had uncertainties. The machine learning technique was popular on this topic, but it portrayed gaps of non-generalisable and inaccuracy possibilities. This study intended to apply nonparametric predictive inference (NPI) with a parametric copula to predict the next wildfire location using the coordinate parameters. The NPI quantifies the uncertainties via imprecise probabilities, ( Penerbit Universiti Kebangsaan Malaysia 2025-03 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/25780/1/237-251%20-.pdf Amirah Hazwani Roslin, and Noryanti Muhammad, and Evizal Abdul Kadir, and Warih Maharani, and Hanita Daud, (2025) Forecasting locations of forest fires in indonesia through nonparametric predictive inference with parametric copula: a case study. Journal of Quality Measurement and Analysis, 21 (1). pp. 237-251. ISSN 2600-8602 https://www.ukm.my/jqma/
spellingShingle Amirah Hazwani Roslin,
Noryanti Muhammad,
Evizal Abdul Kadir,
Warih Maharani,
Hanita Daud,
Forecasting locations of forest fires in indonesia through nonparametric predictive inference with parametric copula: a case study
title Forecasting locations of forest fires in indonesia through nonparametric predictive inference with parametric copula: a case study
title_full Forecasting locations of forest fires in indonesia through nonparametric predictive inference with parametric copula: a case study
title_fullStr Forecasting locations of forest fires in indonesia through nonparametric predictive inference with parametric copula: a case study
title_full_unstemmed Forecasting locations of forest fires in indonesia through nonparametric predictive inference with parametric copula: a case study
title_short Forecasting locations of forest fires in indonesia through nonparametric predictive inference with parametric copula: a case study
title_sort forecasting locations of forest fires in indonesia through nonparametric predictive inference with parametric copula: a case study
url http://journalarticle.ukm.my/25780/
http://journalarticle.ukm.my/25780/
http://journalarticle.ukm.my/25780/1/237-251%20-.pdf