Table 14 Geospatial datasets provided in this article and their names in the repository8.
Geospatial dataset | Name in repository | Format |
|---|---|---|
To define agent characterisation: | ||
1. Global clustered GDPpc | GDPpc_km2_shapes | Shape [.shp] |
2. Global clustered HD | HD_km2_shapes | Shape [.shp] |
3. Global clustered HDpc | HDpc_km2_shapes | Shape [.shp] |
To define agent heterogeneity: | ||
4. Global agents with two characteristics | Agents_GDPpc_HDpc | Shape [.shp] |
5. Global agents with three characteristics | Agents_GDPpc_HDpc_HD | Shape [.shp] |
6. Dataset to define agent diversity | Global_agents_diversity | Text [.csv] |
7. Dataset to define agent evolution in space and time | Global_agents_evolution | Text [.csv] |
8. Dataset to define decision-making process in China | China_dm_agents_survey | Text [.csv] |
9. Dataset to define decision-making process in Ecuador | Ecuador_dm_agents_survey | Text [.csv] |
10. Dataset of global energy demand by agents and regions | Global_agents_demand | Text [.csv] |
11. Dataset of global geospatial cross validation | Spatial_cross_validation | Text [.csv] |
12. Dataset of global geospatial cross validation errors | Spatial_cross_validation_errors | Text [.csv] |
13. Dataset of global MUSE region shapes | Regions_shapes | Shape [.shp] |
