World outlines: Natural Earth, via world-atlas. Geographic rendering: D3.
Administrative boundaries: geoBoundaries, release 9469f09. China prefectures: cn-atlas (upstream: ruiduobao/shengshixian, 2023). Boundaries are simplified, selected, combined and encoded for this map; Tokyo combines special wards, and island outlines are extracted from municipal geometries. These are illustrative administrative areas, not precise travel tracks or terrain.
Enoshima coastline: © OpenStreetMap contributors, available under the Open Database License. The rendered outline is simplified from way 191655339; download the source geometry. Mount Fuji regional anchor: Japan Meteorological Agency. Japanese boundary derivatives retain the source attribution and share-alike terms listed below. City coordinates: cities.json, with selected place references from the Geospatial Information Authority of Japan, GeoNames/Mapcarta, Yandex Maps and Armenian Hidden Gems.
| Dataset | Attribution | License | Reference |
|---|---|---|---|
| ARM ADM2 | Government of Armenia, OCHA ROCCA | Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO) | License source |
| CHN ADM2 | National Administration of Surveying, Mapping and Geoinformation of China, Revolutionary GIS | Open Data Commons Public Domain Dedication and License (PDDL) v1.0 | License source |
| FRA ADM2 | Institut national de l'information géographique et forestière (IGN-F) | Etalab Open License 2.0 | License source |
| GEO ADM2 | geoBoundaries, Wikimedia Commons | Public Domain | License source |
| ISL ADM2 | National Land Survey of Iceland | Creative Commons Attribution 4.0 International (CC BY 4.0) | License source |
| ITA ADM4 | ISTAT, National Institute of Statistics | Creative Commons Attribution 3.0 License | License source |
| ITA ADM2 | ISTAT, National Institute of Statistics | Creative Commons Attribution 3.0 License | License source |
| JPN ADM2 | OpenStreetMap, Wambacher | Creative Commons Attribution-ShareAlike 2.0 | License source |
| THA ADM2 | Royal Thai Survey Department, OCHA ROAP | Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO) | License source |