Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/161879
Título: Georeferenced dataset of maritime piracy in the Gulf of Guinea from 2010 to 2021
Autor: Moura, Ricardo
Santos, Nuno Pessanha
Rocha, André
Lobo, Victor
Neto, Miguel de Castro
Palavras-chave: Statistics and Probability
Information Systems
Education
Computer Science Applications
Statistics, Probability and Uncertainty
Library and Information Sciences
SDG 17 - Partnerships for the Goals
Data: Dez-2023
Resumo: Piracy has been a global concern and a threat to the safety of people performing maritime trade around the globe. Since ancient times maritime piracy has been a common practice that, unfortunately, has not ended in the current days. A georeferenced dataset providing the position, meteorologic conditions, and a description of the occurrence can provide essential information for analyzing this global phenomenon. The dataset focuses on the Gulf of Guinea (GoG) as an area dominated by corruption and weak supervision capacity by the local authorities. The time interval considered in this paper is between 2010 and 2021. Using this simple dataset, it is possible to analyze attributes such as when the piracy occurred or if the illegal activity involved deaths or kidnapping. The accuracy of the data was guaranteed by cross-referencing data sources, so we have 595 pirate attacks accurately described. This dataset can easily be used for data mining, allowing further analysis of the patterns and trends of pirate attacks in the GoG over time.
Descrição: This work was supported by the national project MArIA - Plataforma Integrada de desenvolvimento de modelos de Inteligência artificial para o mar, with grant number POCI-05-5762-FSE-000400. Publisher Copyright: © 2023, The Author(s).
Peer review: yes
URI: http://hdl.handle.net/10362/161879
DOI: https://doi.org/10.1038/s41597-023-02706-x
ISSN: 2052-4463
Aparece nas colecções:NIMS: MagIC - Artigos em revista internacional com arbitragem científica (Peer-Review articles in international journals)
Home collection (FCT)

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
Georeferenced_dataset_of_maritime.pdf1,29 MBAdobe PDFVer/Abrir


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.