References
- Cabinet Office, Government of Japan (2008) Evacuation guidance document. Available at:
https://www.bousai.go.jp/kaigirep/chuobou/senmon/shutohinan/pdf/sanko01.pdf (Accessed: 25 May 2024). - Chow, T.E. (2008) ‘The potential of maps APIs for internet GIS applications’, Transactions in GIS, 12(2), pp. 179–191. Available at: 10.1111/j.1467-9671.2008.01094.x
- Geospatial Information Authority of Japan (2012) Usage Information. Available at:
https://maps.gsi.go.jp/development/siyou.html (Accessed: 20 May 2024). - Geospatial Information Authority of Japan (2013) GSI Tiles. Available at:
https://maps.gsi.go.jp/development/ichiran.html (Accessed: 1 September 2024). - Geospatial Information Authority of Japan (2013) Standard map. Available at:
https://cyberjapandata.gsi.go.jp/xyz/std/{z}/{x}/{y}.png (Accessed: 1 September 2024). - Geospatial Information Authority of Japan (2016) Land condition map. Available at:
https://cyberjapandata.gsi.go.jp/xyz/lcm25k/{z}/{x}/{y}.png (Accessed: 1 September 2024). - Google Maps Platform (2018) Map Tiles API documents. Available at:
https://developers.google.com/maps/documentation/tile?hl=ja (Accessed: 20 May 2024). - Løvholt, F. (2017) Tsunami hazard and risk assessment. Words into Action Guidelines: National Disaster Risk Assessment Hazard. UNISDR, Available at:
https://www.unisdr.org/files/52828_02tsunamihazardandriskassessment.pdf (Accessed: 15 June 2024). - Ministry of Land, Infrastructure, Transport and Tourism of Japan (2020) Tsunami hazard map. Available at:
https://disaportaldata.gsi.go.jp/raster/04_tsunami_newlegend_data/{z}/{x}/{y}.png (Accessed: 25 May 2024). - Netek, R., Masopust, J., Pavlicek, F. and Pechanec, V. (2020) ‘Performance testing on vector vs. raster map tiles—Comparative study on load metrics’, ISPRS International Journal of Geo-Information, 9(2), p.
101 . Available at: 10.3390/ijgi9020101 - Okumura, N., Jonkman, S.N., Esteban, M., Hofland, B. and Shibayama, T. (2017) ‘A method for tsunami risk assessment: A case study for Kamakura, Japan’, Natural Hazards, 88, pp. 1451–1472. Available at: 10.1007/s11069-017-2928-x
- OpenStreetMap (2024) Slippy map tilenames. Available at:
https://wiki.openstreetmap.org/wiki/Slippy_map_tilenames (Accessed: 20 May 2024). - Press, G. (2016), Cleaning Big Data: ‘Most Time-Consuming, Least Enjoyable Data Science Task, Survey Says’, Forbes, Available at:
https://www.forbes.com/sites/gilpress/2016/03/23/data-preparation-most-time-consuming-least-enjoyable-data-science-task-survey-says/ (Accessed: 1 September 2024). - Research Institute for World Grid Squares (2022) Open library. Available at:
https://www.fttsus.org/worldgrids/en/library/ (Accessed: 20 May 2024). - Research Institute for World Grid Squares (2023) MESHSTATS Web API. Available at:
https://www.meshstats.net/meshstats/meshtileapi.php?worldmeshcode={code} (Accessed: 25 May 2024). - Sato, A.-H. and Sawai, H. (2014) ‘Geographical risk assessment from tsunami run-up events based on socioeconomic-environmental data and its application to Japanese air transportation’, Procedia CIRP, 19, pp. 27–32. Available at: 10.1016/j.procir.2014.06.142