{"title":"City size distribution of towns in the 17th century in Lower Silesia","authors":"Angelika Kosieradzka, Bogna Ludwig","doi":"10.1111/arcm.13010","DOIUrl":null,"url":null,"abstract":"This paper attempts to verify the hierarchy of towns in Lower Silesia on the basis of population data from the second decade of the 17th century, assuming that a statistically described distribution law applies. The analysis of the city size distribution was based on Gibrat's law and Zipf's rank‐size rule. This made it possible to verify the assumptions made at the outset and to estimate the population of towns of unknown size and designated rank. The research carried out suggests a revision of the estimates, especially for the largest cities in the region, which tend to be underestimated. Studies have also shown that the method can be extremely useful for verifying uncertain and incomplete historical demographic data.","PeriodicalId":8254,"journal":{"name":"Archaeometry","volume":"81 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2024-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archaeometry","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1111/arcm.13010","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ARCHAEOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This paper attempts to verify the hierarchy of towns in Lower Silesia on the basis of population data from the second decade of the 17th century, assuming that a statistically described distribution law applies. The analysis of the city size distribution was based on Gibrat's law and Zipf's rank‐size rule. This made it possible to verify the assumptions made at the outset and to estimate the population of towns of unknown size and designated rank. The research carried out suggests a revision of the estimates, especially for the largest cities in the region, which tend to be underestimated. Studies have also shown that the method can be extremely useful for verifying uncertain and incomplete historical demographic data.
期刊介绍:
Archaeometry is an international research journal covering the application of the physical and biological sciences to archaeology, anthropology and art history. Topics covered include dating methods, artifact studies, mathematical methods, remote sensing techniques, conservation science, environmental reconstruction, biological anthropology and archaeological theory. Papers are expected to have a clear archaeological, anthropological or art historical context, be of the highest scientific standards, and to present data of international relevance.
The journal is published on behalf of the Research Laboratory for Archaeology and the History of Art, Oxford University, in association with Gesellschaft für Naturwissenschaftliche Archäologie, ARCHAEOMETRIE, the Society for Archaeological Sciences (SAS), and Associazione Italian di Archeometria.