Spatiotemporal historical datasets at micro-level for geocoded individuals in five Swedish parishes, 1813–1914
Hedefalk, Finn LU
; Svensson, Patrick
LU
and Harrie, Lars
LU
(2017)
In Scientific Data
4.
- Abstract
- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/0dcbd5a3-c0be-4fc8-99f1-ed9400fd32af
- author
- Hedefalk, Finn
LU
; Svensson, Patrick
LU
and Harrie, Lars
LU
- organization
- publishing date
- 2017-04-11
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- geography, history, interdisciplinary studies
- in
- Scientific Data
- volume
- 4
- article number
- 170046
- publisher
- Nature Publishing Group
- external identifiers
-
- pmid:28398288
- scopus:85017347649
- wos:000400151400002
- ISSN
- 2052-4463
- DOI
- 10.1038/sdata.2017.46
- project
- Life histories across time and space
- Landskrona Population Study
- language
- English
- LU publication?
- yes
- id
- 0dcbd5a3-c0be-4fc8-99f1-ed9400fd32af
- date added to LUP
- 2017-04-11 15:44:28
- date last changed
- 2022-03-24 17:43:12
@article{0dcbd5a3-c0be-4fc8-99f1-ed9400fd32af,
abstract = {{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 = {{Hedefalk, Finn and Svensson, Patrick and Harrie, Lars}},
issn = {{2052-4463}},
keywords = {{geography; history; interdisciplinary studies}},
language = {{eng}},
month = {{04}},
publisher = {{Nature Publishing Group}},
series = {{Scientific Data}},
title = {{Spatiotemporal historical datasets at micro-level for geocoded individuals in five Swedish parishes, 1813–1914}},
url = {{http://dx.doi.org/10.1038/sdata.2017.46}},
doi = {{10.1038/sdata.2017.46}},
volume = {{4}},
year = {{2017}},
}