TY  - JOUR
T1  - Point Process Analysis applied to fire outbreaks in São Paulo
A1  - Monteiro, Vinicius Crispim Tavares
A1  - Oliveira, Manoel Alves de
A1  - Olinda, Ricardo Alves de
A1  - Pereira, Lucas Cardoso
Y1  - 2024///
KW  - Point Process Analysis
KW  - Spatial Statistics
KW  - Fires
KW  - Hypothesis Tests
KW  - São Paulo
JF  - Socioeconomic Analytics
VL  - 2
IS  - 1
SP  - 164
EP  - 174
DO  - https://doi.org/10.51359/2965-4661.2024.265082
UR  - https://doi.org/10.51359/2965-4661.2024.265082
N2  - This study applied spatial analysis techniques to point processes to investigate the distribution of fire outbreaks in the state of São Paulo during the months of June to September 2024. Using data from the Burning Program of the National Institute for Space Research (INPE), descriptive and inferential analyses were performed, including Ripley's K Function and the Kolmogorov-Smirnov Test, with the aim of testing the hypothesis of Complete Spatial Randomness (CSR). The results indicated a pattern of spatial clustering in short distances, rejecting the hypothesis of randomness. Predictive models based on Poisson processes were adjusted, highlighting the most vulnerable areas, especially in the Atlantic Forest and Cerrado biomes. This work reinforces the importance of spatial statistics as an essential tool for identifying patterns and planning mitigation strategies, contributing to environmental preservation and combating fire outbreaks.
ER  -