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CoClime - Probability of phytoplankton (Karenia mikimotoi) presence, Southwest Ireland - future prediction (2017 - 2035)

Published by: Marine Institute
Category: Environment
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This is the output of GBM (Gradient Boosting Model) analyses of K. mikimotoi presence and absnece data done by MI OCIS and CoCliME project. This output dataset shows prediction of probability of K. mikimotoi presence in the future (2017 - 2035) in SW Ireland. The analyses was performed in R 3.6.3, with the packages tidyverse 1.3.0 for data handling and visualisation, and xgboost 1.2.0.1 for boosted regression analyses. The dataset used for analyses is available on MI data catalogue (http://data.marine.ie/geonetwork/srv/eng/catalog.search#/metadata/ie.marine.data:dataset.4445) and the dataset used for prediction is requested to be included in MI data catalogue ([20]. CDF-t Climate run (Climate_run_corr.rds) in CoCliME model SOP). This dataset is used to visualise the prediction on R Shiny application for present period (https://marine-institute-ireland.shinyapps.io/K_mikimotoi_probability/ ). None

Suggested Citation: Yamanaka, Tsuyuko; Cusack, Caroline; Clarke, Dave; Nolan, Glenn. (2022) CoClime - Probability of phytoplankton (Karenia mikimotoi) presence, Southwest Ireland - future prediction (2017 - 2035). Marine Institute, Ireland. doi:10/hvtc.

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Theme Environment
Date released 2022-01-19
Date updated 2023-03-30
Dataset conforms to these standards See the referenced specification
Rights notes {"While every effort is made in preparing the dataset no responsibility is accepted by or on behalf of the Marine Institute for any errors, omissions or misleading information. The Marine Institute accepts no responsibility for loss or damage occasioned or claimed to have been occasioned, in part or in full, as a consequence of any person acting, or refraining from acting as a result of a matter contained in this datasets or as a consequence of using this dataset for any purpose whatsoever.","A Creative Commons (CC) license is one of several public copyright licenses that enable the free distribution of an otherwise copyrighted work. A CC license is used when an author wants to give people the right to share, use, and build upon a work that they have created. Under Creative Commons CC BY 4.0 the following is granted: Rights Share — copy and redistribute the material in any medium or format; Adapt — remix, transform, and build upon the material for any purpose, even commercially. The licensor cannot revoke these freedoms as long as you follow the license terms. Requirements Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.",CC%20BY%204.0}
Update frequency Other
Language English
Geographic coverage in GeoJSON format {"type":"Polygon","coordinates":[[[-11.6, 50.08],[-11.6, 52.79], [-8.26, 52.79], [-8.26, 50.08], [-11.6, 50.08]]]}
Spatial Reference Systems (SRS) WGS 84 (EPSG:3857)
Provenance information Data supplied by Marine Institute.
Period of time covered (begin) 2017-01-01