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Conflating Historical Population Statistics Using a Historical GIS with a Flexible Semantic Model for Premodern Administrative Units in the Low Countries: The (Re)counting the Uncounted and Historical Atlas of the Low Countries Projects

Published: 13 November 2023 Publication History
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  • Abstract

    This paper describes the iterative process of conflating historical population statistics for the medieval and early modern Low Countries. This process improves the quality of analyses of the data by adding fine-grained geospatial definitions to the historical observations, gradually refining the underlying historical GIS itself too: both intertwined processes benefit from each other. A flexible semantic model for premodern administrative units in the Low Countries is introduced to accommodate the continuous refinements, while maintaining backward compatibility.

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    1. Conflating Historical Population Statistics Using a Historical GIS with a Flexible Semantic Model for Premodern Administrative Units in the Low Countries: The (Re)counting the Uncounted and Historical Atlas of the Low Countries Projects

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                    cover image ACM Conferences
                    GeoHumanities '23: Proceedings of the 7th ACM SIGSPATIAL International Workshop on Geospatial Humanities
                    November 2023
                    68 pages
                    ISBN:9798400703492
                    DOI:10.1145/3615887
                    This work is licensed under a Creative Commons Attribution International 4.0 License.

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                    Publication History

                    Published: 13 November 2023

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                    Author Tags

                    1. cross-temporal analysis
                    2. historical GIS
                    3. map conflation
                    4. ontology alignment
                    5. population censuses
                    6. replication study

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                    • Nederlandse Organisatie voor Wetenschappelijk Onderzoek

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                    Overall Acceptance Rate 15 of 21 submissions, 71%

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