Stadestér 1.0 - A Global Database of 41000+ Cities From 3000BC to the Present ; Stadestér 1.0
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| Titel: | Stadestér 1.0 - A Global Database of 41000+ Cities From 3000BC to the Present ; Stadestér 1.0 |
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| Autoren: | Tacitus, Vis, Kätzchen, Aust |
| Verlagsinformationen: | Zenodo |
| Publikationsjahr: | 2025 |
| Bestand: | Zenodo |
| Schlagwörter: | Demography, Demography/history, Urban Population, Urban Population/history, Urban Population/statistics & numerical data |
| Beschreibung: | Stadestér is an internally consistent global urban population database of ~41214 cities and their populations from 3000BC to 2025AD as taken from Buringh, Chandler, de Vries, GHSL, GHS-POP, Modelski, Populstat, Reba et al., and Wikipedia. Resultant data was standardised, geolocated, cubic spline interpolated, and calculated at 1-year intervals via weighted geometric averages. Reliability was assessed via comparisons to other demographic sources and long-run urban estimates, out-of-model sampling, regional centre of population/gravity comparisons, and manual copychecking prior to calibration, deviating by a mean of 17,4% (SD = 13%) of HYDE/UN estimates over the long run. To avoid duplicate entries, cities were merged based on their physical distance from one other as well as their semantic similarity between both contemporary and historical names. Metropolitan networks were corrected for by subtracting suburban populations from their metro area, and redistributing any negative numbers held by the metropolitan area back to their suburbs in a proportional manner. Geolocation was achieved via automated Selenium/Puppeteer scraping, the Google Places API, Google Maps, Nominatim/OSM, and manual transcription. Area, density, rate of natural increase (RNI), and geospatial distributions of population within cities are also available at annual resolution starting from 1800AD. Note that rasters have only been outputted for the subset of HYDE years from 3000BC-2025AD, and that we provide an open-source CLI for generating data from specific years, in addition to a custom UI tool for geoprocessing and visualisation (Constele Red). Area/density calculations were derived from Angel, Bairoch, Clark, Pasciuti and Chase-Dunn, and Stanilov and Sykora. The work of Hanson, Ortman, and Storey on classical populations have not yet been implemented. We also naturally provide rasters of global overall population and non-urban population as an alternative to HYDE3.2/3.3 based on HYDE corrected for outliers, McEvedy and Jones, and ... |
| Publikationsart: | dataset |
| Sprache: | English |
| Relation: | https://zenodo.org/communities/confoederatio/; https://zenodo.org/records/17180328; oai:zenodo.org:17180328; https://doi.org/10.5281/zenodo.17180328 |
| DOI: | 10.5281/zenodo.17180328 |
| Verfügbarkeit: | https://doi.org/10.5281/zenodo.17180328 https://zenodo.org/records/17180328 |
| Rights: | MIT License ; mit ; https://opensource.org/licenses/MIT |
| Dokumentencode: | edsbas.55FC7D57 |
| Datenbank: | BASE |
Nájsť tento článok vo Web of Science | Abstract: | Stadestér is an internally consistent global urban population database of ~41214 cities and their populations from 3000BC to 2025AD as taken from Buringh, Chandler, de Vries, GHSL, GHS-POP, Modelski, Populstat, Reba et al., and Wikipedia. Resultant data was standardised, geolocated, cubic spline interpolated, and calculated at 1-year intervals via weighted geometric averages. Reliability was assessed via comparisons to other demographic sources and long-run urban estimates, out-of-model sampling, regional centre of population/gravity comparisons, and manual copychecking prior to calibration, deviating by a mean of 17,4% (SD = 13%) of HYDE/UN estimates over the long run. To avoid duplicate entries, cities were merged based on their physical distance from one other as well as their semantic similarity between both contemporary and historical names. Metropolitan networks were corrected for by subtracting suburban populations from their metro area, and redistributing any negative numbers held by the metropolitan area back to their suburbs in a proportional manner. Geolocation was achieved via automated Selenium/Puppeteer scraping, the Google Places API, Google Maps, Nominatim/OSM, and manual transcription. Area, density, rate of natural increase (RNI), and geospatial distributions of population within cities are also available at annual resolution starting from 1800AD. Note that rasters have only been outputted for the subset of HYDE years from 3000BC-2025AD, and that we provide an open-source CLI for generating data from specific years, in addition to a custom UI tool for geoprocessing and visualisation (Constele Red). Area/density calculations were derived from Angel, Bairoch, Clark, Pasciuti and Chase-Dunn, and Stanilov and Sykora. The work of Hanson, Ortman, and Storey on classical populations have not yet been implemented. We also naturally provide rasters of global overall population and non-urban population as an alternative to HYDE3.2/3.3 based on HYDE corrected for outliers, McEvedy and Jones, and ... |
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| DOI: | 10.5281/zenodo.17180328 |