Point Process applied to fire outbreaks in São Paulo
This study applied spatial analysis techniques for point processes to investigate the distribution of fire outbreaks in the state of São Paulo during the months of June to September 2024. Descriptive and inferential analyses were conducted, including Ripley's K Function and the Kolmogorov-Smir...
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| Format: | Article |
| Language: | English |
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Universidade Federal de Pernambuco (UFPE)
2024-12-01
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| Series: | Socioeconomic Analytics |
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| Online Access: | https://periodicos.ufpe.br/revistas/index.php/SECAN/article/view/265082 |
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| _version_ | 1825201955916480512 |
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| author | Vinicius Crispim Tavares Monteiro Manoel Alves de Oliveira Ricardo Alves de Olinda Lucas Cardoso Pereira |
| author_facet | Vinicius Crispim Tavares Monteiro Manoel Alves de Oliveira Ricardo Alves de Olinda Lucas Cardoso Pereira |
| author_sort | Vinicius Crispim Tavares Monteiro |
| collection | DOAJ |
| description |
This study applied spatial analysis techniques for point processes to investigate the distribution of fire outbreaks in the state of São Paulo during the months of June to September 2024. Descriptive and inferential analyses were conducted, including Ripley's K Function and the Kolmogorov-Smirnov Test, to test the hypothesis of Complete Spatial Randomness (CSR). The results indicated a spatial clustering pattern at short distances, rejecting the randomness hypothesis. Predictive models based on Poisson processes were fitted, highlighting the most vulnerable areas, particularly in the Atlantic Forest and Cerrado biomes.
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| format | Article |
| id | doaj-art-f48b669a1c6b4b1488a904d61c8e8bc8 |
| institution | Kabale University |
| issn | 2965-4661 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Universidade Federal de Pernambuco (UFPE) |
| record_format | Article |
| series | Socioeconomic Analytics |
| spelling | doaj-art-f48b669a1c6b4b1488a904d61c8e8bc82025-02-07T17:46:05ZengUniversidade Federal de Pernambuco (UFPE)Socioeconomic Analytics2965-46612024-12-012110.51359/2965-4661.2024.265082Point Process applied to fire outbreaks in São PauloVinicius Crispim Tavares Monteiro0https://orcid.org/0009-0005-7476-0533Manoel Alves de Oliveira1https://orcid.org/0009-0006-8055-9171Ricardo Alves de Olinda2https://orcid.org/0000-0002-0509-8428Lucas Cardoso Pereira3https://orcid.org/0000-0002-4790-6243State University of ParaíbaState University of ParaíbaState University of ParaíbaState University of Paraíba This study applied spatial analysis techniques for point processes to investigate the distribution of fire outbreaks in the state of São Paulo during the months of June to September 2024. Descriptive and inferential analyses were conducted, including Ripley's K Function and the Kolmogorov-Smirnov Test, to test the hypothesis of Complete Spatial Randomness (CSR). The results indicated a spatial clustering pattern at short distances, rejecting the randomness hypothesis. Predictive models based on Poisson processes were fitted, highlighting the most vulnerable areas, particularly in the Atlantic Forest and Cerrado biomes. https://periodicos.ufpe.br/revistas/index.php/SECAN/article/view/265082Point Process AnalysisSpatial StatisticsHypothesis TestsFiresSão Paulofires |
| spellingShingle | Vinicius Crispim Tavares Monteiro Manoel Alves de Oliveira Ricardo Alves de Olinda Lucas Cardoso Pereira Point Process applied to fire outbreaks in São Paulo Socioeconomic Analytics Point Process Analysis Spatial Statistics Hypothesis Tests Fires São Paulo fires |
| title | Point Process applied to fire outbreaks in São Paulo |
| title_full | Point Process applied to fire outbreaks in São Paulo |
| title_fullStr | Point Process applied to fire outbreaks in São Paulo |
| title_full_unstemmed | Point Process applied to fire outbreaks in São Paulo |
| title_short | Point Process applied to fire outbreaks in São Paulo |
| title_sort | point process applied to fire outbreaks in sao paulo |
| topic | Point Process Analysis Spatial Statistics Hypothesis Tests Fires São Paulo fires |
| url | https://periodicos.ufpe.br/revistas/index.php/SECAN/article/view/265082 |
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