CoClime - Probability of phytoplankton (“Pseudo-nitzschia seriata” complex ) presence, Southwest Ireland - present time prediction (1997 - 2016)

This is the output of GBM (Gradient Boosting Model) analyses of P. seriata presence and absnece data done by MI OCIS and CoCliME project. This output dataset shows prediction of probability of P. seriata presence in present time (1997 - 2016) 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/P_seriata_probability/). This dataset is used for displaying present time prediction of P. seriata probability of presence on the Shiny app.

本数据集为MI OCIS与CoCliME项目基于P. seriata存在-缺失数据开展的GBM（梯度提升树模型，Gradient Boosting Model）分析结果，展示了1997-2016年当前时段爱尔兰西南部海域P. seriata存在概率的预测结果。本次分析基于R 3.6.3环境完成，使用tidyverse 1.3.0包进行数据处理与可视化，使用xgboost 1.2.0.1包开展提升回归分析。用于分析的数据集可在MI数据目录（http://data.marine.ie/geonetwork/srv/eng/catalog.search#/metadata/ie.marine.data:dataset.4445）获取；用于预测的数据集（CoCliME模型标准操作流程中的CDF-t气候运行数据集[Climate_run_corr.rds]，参考文献[20]）已申请纳入MI数据目录。本数据集用于在R Shiny应用中可视化当前时段的预测结果，应用链接为https://marine-institute-ireland.shinyapps.io/P_seriata_probability/，同时用于在该Shiny应用中展示P. seriata存在概率的当前时段预测结果。