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Karolina Pantazatou

Doctoral student

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Importance of the Geocoding Level for Historical Demographic Analyses : A Case Study of Rural Parishes in Sweden, 1850–1914

Author

  • Finn Hedefalk
  • Karolina Pantazatou
  • Luciana Quaranta
  • Lars Harrie

Summary, in English

Geocoding longitudinal and individual-level historical demographic databases enables novel analyses of how micro-level geographic factors affected demographic outcomes over long periods. However, such detailed geocoding involves high costs. Additionally, the high spatial resolution cannot be properly utilized if inappropriate methods are used to quantify the geographic factors. We assess how different geocoding levels and methods used to define geographic variables affects the outcome of detailed spatial and historical demographic analyses. Using a longitudinal and individual-level demographic database geocoded at the property unit level, we analyse the effects of population density and proximity to wetlands on all-cause mortality for individuals who lived in five Swedish parishes, 1850–1914. We compare the results from analyses on three detailed geocoding levels using two common quantification methods for each geographic variable. Together with the method selected for quantifying the geographic factors, even small differences in positional accuracy (20–50 m) between the property units and slightly coarser geographic levels heavily affected the results of the demographic analyses. The results also show the importance of accounting for geographic changes over time. Finally, proximity to wetlands and population density affected the mortality of women and children, respectively. However, all possible determinants of mortality were not evaluated in the analyses. In conclusion, for rural historical areas, geocoding to property units is likely necessary for fine-scale analyses at distances within a few hundred metres. We must also carefully consider the quantification methods that are the most logical for the geographic context and the type of analyses.

Department/s

  • Centre for Economic Demography
  • Dept of Physical Geography and Ecosystem Science
  • Department of Economic History
  • eSSENCE: The e-Science Collaboration

Publishing year

2018-04

Language

English

Pages

35-69

Publication/Series

Spatial Demography

Volume

6

Issue

1

Document type

Journal article

Publisher

Springer

Topic

  • Human Geography
  • Computer and Information Science
  • Economic History
  • Environmental Sciences

Keywords

  • geocoding
  • survival analyses
  • Cox proportional hazards model
  • historical demography
  • mortality
  • spatial resolution
  • longitudinal historical databases
  • wetlands
  • micro-level

Status

Published

Project

  • Life histories across time and space
  • Landskrona Population Study

ISBN/ISSN/Other

  • ISSN: 2164-7070