Spatiotemporal historical datasets at micro-level for geocoded individuals in five Swedish parishes, 1813–1914

Summary, in English

This paper presents datasets that enable historical longitudinal studies of micro-level geographic factors in a rural setting. These types of datasets are new, as historical demography studies have generally failed to properly include the micro-level geographic factors. Our datasets describe the geography over five Swedish rural parishes, and by linking them to a longitudinal demographic database, we obtain a geocoded population (at the property unit level) for this area for the period 1813–1914. The population is a subset of the Scanian Economic Demographic Database (SEDD). The geographic information includes the following feature types: property units, wetlands, buildings, roads and railroads. The property units and wetlands are stored in object-lifeline time representations (information about creation, changes and ends of objects are recorded in time), whereas the other feature types are stored as snapshots in time. Thus, the datasets present one of the first opportunities to study historical spatio-temporal patterns at the micro-level.

• Author: Finn Hedefalk; Patrick Svensson; Lars Harrie
• Department/s: Centre for Economic Demography; Dept of Physical Geography and Ecosystem Science; Department of Economic History; eSSENCE: The e-Science Collaboration
• Publishing year: 2017-04-11
• Language: English
• Publication/Series: Scientific Data
• Volume: 4
• Links: http://dx.doi.org/10.1038/sdata.2017.46
• Document type: Journal article
• Publisher: Nature Publishing Group
• Topic: Social and Economic Geography; Economic History
• Keywords: geography; history; interdisciplinary studies
• Status: Published
• Project: Life histories across time and space; Landskrona Population Study
• ISBN/ISSN/Other: ISSN: 2052-4463