Data portals and services have increased coastal water quality data availability and accessibility. However, tools to process this data are limited – geospatial frameworks at the land-sea interface are either adapted from open-water frameworks or extended from watershed frameworks. This study explores use of a geospatial framework based on hexagons from a Discrete Global Grid System (DGGS) in a coastal area. Two DGGS implementations are explored, dggridR and H3. The geospatial frameworks are compared based on their ability to aggregate data to scales from existing frameworks, integrate data across frameworks, and connect flows across the land-sea interface. dggridR was simpler with more flexibility to match scales and use smaller units. H3 was more performant, identifying neighbors and moving between scales more efficiently. Point, line and grid data were aggregated to H3 units to test the implementation's ability to model and visualize coastal data. H3 performed these additional tasks well.

数据门户和服务提高了沿海水质数据的可用性和可访问性。然而，处理这些数据的工具是有限的——陆海界面的地理空间框架要么改编自开放水域框架，要么扩展自分水岭框架。本研究探讨了在沿海地区使用基于离散全球网格系统 (DGGS) 六边形的地理空间框架。探索了两个 DGGS 实现，dggridR 和 H3。地理空间框架的比较基于它们聚合数据以从现有框架扩展的能力、跨框架集成数据以及跨陆海界面连接数据流的能力。dggridR 更简单，更灵活地匹配比例和使用更小的单位。H3 的性能更高，可以更有效地识别邻居并在尺度之间移动。观点，线和网格数据被聚合到 H3 单元，以测试实施对沿海数据进行建模和可视化的能力。H3 很好地完成了这些额外的任务。