fishRman: A Shiny R Dashboard improving Global Fishing Watch data availability

While the datasets are indeed publicly available, they are also rather large and quite difficult to manage, since they require proficiency in coding. In fact, at present, the most notable reading material instructing on the use of the datasets targets an audience who is proficient in the languages R (Clavelle, 2019a), Python, JavaScript (Clavelle, 2019b), or SQL (Mayorga, 2018) to download, filter, summarise, and visualise the data.

• Publication year

  2021

• Venue

  Journal of Open Source Software

• Publication date

  2021-10-21

• Fields of study

  Computer Science, Environmental Science

• Identifiers
  DOI 10.21105/joss.03467
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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