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Bayesian spatio-temporal modeling of the Brazilian fire spots between 2011 and 2022

Retrieved on: 2024-09-16 16:55:52

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Summary

The article details a comprehensive approach to using data aggregators to analyze weather data, fire spots, and land use in Brazil. It connects meteorology, oceanography, and physical geography with data management and aggregation techniques. The study incorporates Bayesian spatio-temporal modeling, emphasizing data from weather stations and land use transitions, relevant to tags like CLIMAT, atmospheric temperature, and climate.

Article found on: www.nature.com

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