Department of Physical Geography and Ecosystem Science, Lund University, SE-220 07 Lund, Sweden.
Centre for Economic Demography and Department of Economic History, Lund University, SE-223 62 Lund, Sweden.
Sci Data. 2017 Apr 11;4:170046. doi: 10.1038/sdata.2017.46.
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.
本文提供了一些数据集，这些数据集可用于在农村环境中对微观地理因素进行历史纵向研究。这类数据集是全新的，因为历史人口统计学研究通常未能正确纳入微观地理因素。我们的数据集描述了瑞典五个农村教区的地理情况，并将其与纵向人口数据库相链接，从而获得了该地区 1813-1914 年的地理编码人口（位于房产单位级别）。该人口是斯堪尼亚经济人口数据库（SEDD）的一个子集。地理信息包括以下特征类型：房产单位、湿地、建筑物、道路和铁路。房产单位和湿地以对象生命线时间表示形式存储（记录了关于对象的创建、变更和结束的信息），而其他特征类型则以时间快照的形式存储。因此，这些数据集提供了首次在微观层面上研究历史时空模式的机会之一。
