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March 22, 2026Digital humanities quarterly0 citationsOpen Access

Evaluating and Understanding the Geocoding of City Directories of Paris (1787-1914): Data-Driven Geography of Urban Sprawl and Densification

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JGJulie GravierSBStéphane BaciocchiPCPascal Cristofoli

Key Points

  • The research aims to evaluate the geocoding of 19th-century city directories from Paris and understand their implications for urban studies.
  • Analyzed millions of nominative entries associated with addresses from trade directories
  • Developed a serial dataset for multi-scale analyses of urban dynamics
  • Emphasized methodological conditions for data-driven research
  • Demonstrated the potential for fine-grained quantitative analysis of urban sprawl
  • Highlighted the importance of data science in evaluating digital sources
  • Established best practices for creating large historical datasets

Abstract

As in other western cities, the fast-paced urban, industrial, and commercial sprawl of Paris during the 19th century provided the backdrop and driving force for the publishing phenomenon of trade directories. We show how these collections of millions of nominative entries associated with addresses can be turned into a serial dataset whose massive, fine-grained, and geolocated nature opens up new possibilities for quantitative and multi-scale analyses of the dynamics at play during one of the most dramatic socio-spatial transformations of the city. We highlight the methodological conditions of such data-driven analyses and emphasize the importance of understanding source effects. The findings underscore the significance of data science in critically evaluating digital sources and adhering to best practices in the production of large historical datasets.

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Cite This Study

Gravier et al. (2026) studied this question.

synapsesocial.com/papers/69bf38f3c7b3c90b18b43005https://doi.org/10.63744/eh2pbu98sxve
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