We propose a a multi-scale geospatial dataset by taking into account the geographical and social properties of locations and their connections, and the populations within. Note that all the individual data modules share a common key (e.g., same identifier) for a node or an edge across the whole dataset.
| Dataset | COVID-10 Multi-Scale Geo-Spatial |
| Description | The entire COVID-19 multi-scale geo-spatial dataset. |
| Samples |
| Dataset | location_properties.json |
| Description | A multi-purpose preprocessed data source. Contains time series mobility data, regions and their properties, stay at home policy info, etc. |
| Samples |
| Dataset | Global_Mobility_Report.csv |
| Description | Preprocessed overall mobility trend data by community from google |
| Samples |
| Dataset | edges_country_border.csv |
| Description | Preprocessed border edges that connect world-wide countries |
| Samples |
| Dataset | edges_us_state_border.csv |
| Description | Preprocessed border edges that connect US states |
| Samples |
| Dataset | edges_us_county_border.csv |
| Description | Preprocessed border edges that connect US counties |
| Samples |
| Dataset | all_locations.txt |
| Description | Preprocessed names of all the regions |
| Samples |
| Dataset | stay-at-home_US.csv |
| Description | Preprocessed US states "Stay at Home" policies with start and end dates |
| Samples |
| Dataset | country_iso2_LookUp_Table.csv |
| Description | Preprocessed lookup table for country nodes (ISO2 codes) |
| Samples |
| Dataset | flight_with_airports.csv |
| Description | Preprocessed worldwide flight information with airport names and locations |
| Samples |
| Dataset | worldcities_with_population.csv |
| Description | Preprocessed world cities with populations |
| Samples |