7.5. LUT Dataloaders

7.5.1. Abstract LUT Base Class

• 7.5.1.1. Abstract Look Up Table Dataloader

The Abstract Base Class of the Look Up Table dataloaders holds most of the functionality that would be needed to manipulate the data to work with the mesh. When creating a new dataloader, the user must define how to open the data files, and what methods are required to manipulate the data into a standard format. More details are provided on the abstractVector doc page

7.5.2. LUT Dataloader Examples

Creating a LUT dataloader is almost identical to creating a scalar dataloader. The key differences are that the LUTDataLoader abstract base class must be used, and regions are defined by Shapely polygons. Data is imported and saved as GeoPandas dataframes, holding a polygon and an associated value.

7.5.3. Implemented LUT Dataloaders

• 7.5.3.1. Density Dataloader
• 7.5.3.2. LUT CSV Dataloader
• 7.5.3.3. LUT GeoJSON Dataloader
• 7.5.3.4. Scotland NCMPA Dataloader
• 7.5.3.5. Thickness Dataloader