Towards Spatio Temporal Graph Representations for Historical Spatial Data

This paper explores the use of spatio-temporal graphs to analyse social dynamics from historical documents such as maps and fiscal registers. Historians often face difficulties in combining various document types to study the evolution of human activities over time. Our research addresses the challenges of identifying specific social dynamic characteristics and effectively modelling these dynamics for easier data retrieval. We propose a framework to encode historical data, enhancing computer-based analysis and enabling the processing of larger datasets. Additionally, we discuss potential issues in developing a comprehensive and effective model.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-20
DOI
https://doi.org/10.5281/zenodo.14713997
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
0.00
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article

Towards Spatio Temporal Graph Representations for Historical Spatial Data

Zenodo (CERN European Organization for Nuclear Research)
Data Visualization and Analytics
article

Towards Spatio Temporal Graph Representations for Historical Spatial Data

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Abstract

This paper explores the use of spatio-temporal graphs to analyse social dynamics from historical documents such as maps and fiscal registers. Historians often face difficulties in combining various document types to study the evolution of human activities over time. Our research addresses the challenges of identifying specific social dynamic characteristics and effectively modelling these dynamics for easier data retrieval. We propose a framework to encode historical data, enhancing computer-based analysis and enabling the processing of larger datasets. Additionally, we discuss potential issues in developing a comprehensive and effective model.

Zenodo (CERN European Organization for Nuclear Research)
Université Fédérale de Toulouse Midi-Pyrénées (FR), Institut National des Sciences Appliquées de Rennes (FR), Université de Rouen Normandie (FR), Institut National des Sciences Appliquées Rouen Normandie (FR)
Openalex Percentile: Top 51%
Data Visualization and Analytics
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