Evaluation of multi-hazard map produced using MaxEnt machine learning technique

Natural hazards are diverse and uneven in time and space, therefore, understanding its complexity is key to save human lives and conserve natural ecosystems. Reducing the outputs obtained after each modelling analysis is key to present the results for stakeholders, land managers and policymakers. So...

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Detalles Bibliográficos
Autores principales: Javidan, Narges, Kavian, Ataollah, Pourghasemi, Hamid Reza, Conoscenti, Christian, Jafarian, Zeinab, Rodrigo-Comino, Jesús
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985520/
https://www.ncbi.nlm.nih.gov/pubmed/33753798
http://dx.doi.org/10.1038/s41598-021-85862-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985520/
https://www.ncbi.nlm.nih.gov/pubmed/33753798
http://dx.doi.org/10.1038/s41598-021-85862-7

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