Published May 14, 2021
| Version v1.0.2
Software
Open
R4AIS: an R workflow to process AIS data for fishery
Creators
- 1. Italian National Research Council- Institute for Biological Resources and Marine Biotechnologies
- 2. Institute for Biological Resources and Marine Biotechnologies - National Research Council of Italy (IRBIM-CNR) , L.go Fiera della Pesca, 60125 Ancona, Italy
Description
This R code aims to analyze Automatic Identification System (AIS) data. The processing workflow was developed on historical annotated data of the Adriatic Sea and aims to (i) identify individual fishing trips and (ii) classify them on a monthly basis according to 5 predefined gear classes: bottom otter trawl (OTB), pelagic pair trawl (PTM), beam trawl (TBB), purse seine (PS), and "other" fishing (OTHER, including dredges and passive gears). In this repository we also release:
- a small subset of AIS signals broadcasted by vessels contained in the validated dataset (.csv);
- all the parameters required to process the data, such as the input parameters needed to classify fishing trips (.csv) and the trained Random Forest model (.rds) used to finally assign the gear on a monthly basis and finalized to work in the Adriatic Sea;
- additional spatial layers required by the data processing (.shp).
A summary description of these data is provided in the Release notes.
Files
MAPSirbim/AIS_data_processing-v1.0.2.zip
Files
(7.0 MB)
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Additional details
Related works
- Continues
- 10.1115/DETC2019-97779 (DOI)
- Is supplement to
- https://github.com/MAPSirbim/AIS_data_processing/tree/v1.0.2 (URL)