Intelligent geospatial maritime risk analytics using the Discrete Global Grid System-Reference-Cited by-同舟云学术

Intelligent geospatial maritime risk analytics using the Discrete Global Grid System

Published:2021-09-13 Issue: Volume: Page:1-29
ISSN:2096-4471
Container-title:Big Earth Data
language:en
Short-container-title:Big Earth Data

Author:

Rawson Andrew¹^ORCID,Sabeur Zoheir²^ORCID,Brito Mario³^ORCID

Affiliation:

1. Department of Electronics and Computer Science, University of Southampton, UK

2. Department of Computing and Informatics, Talbot Campus, University of Bournemouth, Bournemouth, UK

3. Department of Decision Analytics and Risk, Southampton Business School, University of Southampton, UK

Funder

Horizon 2020

Southampton Marine and Maritime Institute

Publisher

Informa UK Limited

Subject

Computers in Earth Sciences,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/20964471.2021.1965370

Reference77 articles.

1. Mining Port Congestion Indicators from Big AIS Data

2. Marine transportation risk assessment using Bayesian Network: Application to Arctic waters

3. Barnes, R. (2016). dggridR: Discrete global grid systems for R [online]. Available at: https://github.com/r-barnes/dggridR. (Accessed 24/ May/2019).

4. Optimal orientations of discrete global grids and the Poles of Inaccessibility

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