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Spatiotemporal hist...
Spatiotemporal historical datasets at micro-level for geocoded individuals in five Swedish parishes, 1813–1914
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- Hedefalk, Finn (författare)
- Lund University,Lunds universitet,Centrum för ekonomisk demografi,Ekonomihögskolan,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Centre for Economic Demography,Lund University School of Economics and Management, LUSEM,Dept of Physical Geography and Ecosystem Science,Faculty of Science
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- Svensson, Patrick (författare)
- Lund University,Lunds universitet,Centrum för ekonomisk demografi,Ekonomihögskolan,Ekonomisk-historiska institutionen,Centre for Economic Demography,Lund University School of Economics and Management, LUSEM,Department of Economic History,Lund University School of Economics and Management, LUSEM
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- Harrie, Lars (författare)
- Lund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science
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(creator_code:org_t)
- 2017-04-11
- 2017
- Engelska.
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Ingår i: Scientific Data. - : Springer Science and Business Media LLC. - 2052-4463. ; 4
- Relaterad länk:
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http://dx.doi.org/10... (free)
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https://www.nature.c...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- SAMHÄLLSVETENSKAP -- Social och ekonomisk geografi (hsv//swe)
- SOCIAL SCIENCES -- Social and Economic Geography (hsv//eng)
- SAMHÄLLSVETENSKAP -- Ekonomi och näringsliv -- Ekonomisk historia (hsv//swe)
- SOCIAL SCIENCES -- Economics and Business -- Economic History (hsv//eng)
Nyckelord
- geography
- history
- interdisciplinary studies
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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