2026-10-16T11:17:33Z https://data.mendeley.com/oai

oai:data.mendeley.com/dv9mkcxhzm.1 2024-12-05T08:24:54Z

Majumder, Reetam RxFire Optimization Engine - Eglin AFB case study Mendeley Data The data and code accompanies the following article: R. Majumder, A. J. Terando, J. K. Hiers, J. A. Collazo, B. J. Reich (2025). A spatiotemporal optimization engine for prescribed burning in the Southeast US. The article develops a decision tool (the RxFire Engine) to augment fire manager expertise in prescribed burn decision making in the southeast US. A case study is presented based on the Eglin Air Force Base in Florida, USA. This dataset and code aims to replicate the results presented in the article. However, it can be used to obtain future prescribed burn allocation portfolios if the engine is provided with updated weather forecast information. Statistics Fire Hazard Geostatistics Bayesian Inference Terando, Adam J. Hiers, J. Kevin Collazo, Jaime A. Reich, Brian J. Dataset doi:10.17632/dv9mkcxhzm.1 oai:data.mendeley.com/dv9mkcxhzm.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/dv9mkcxhzm 2024-12-05T08:24:54Z