Synthetic data for reef modelling

Synthetic data can be used to support model analyses that can be published without referring to specific sites, reefs, or study areas. Here a synthetic data pipeline has been developed for the reef decision-support system ADRIA (Adaptive Dynamic Reef Intervention Algorithms). This pipeline includes developing models for tabular (benthic/compositional reef data), spatial-temporal (wave and heat stress data) and spatial network data (coral larval connectivity). Conditional sampling methods which connect spatial relationships across datasets are used to develop synthetic reef data packages which mimic the statistical properties of the original dataset.See Crocker et al (2024) for full details.

合成数据可用于支持模型分析，这些分析在发表时无需提及具体地点、珊瑚礁或研究区域。本文为珊瑚礁决策支持系统ADRIA（Adaptive Dynamic Reef Intervention Algorithms，自适应动态珊瑚礁干预算法）开发了一条合成数据管道。该管道包含针对表格数据（底栖/组成型珊瑚礁数据）、时空数据（波浪与热应激数据）及空间网络数据（珊瑚幼虫连通性）的模型开发。研究采用跨数据集关联空间关系的条件采样方法，开发出能模拟原始数据集统计特性的合成珊瑚礁数据包。详情参见Crocker等人（2024）的研究。