Historical dataset of administrative units with social-economic attributes for Austrian Silesia 1837–1910

Scientists from many disciplines need historical administrative boundaries in order to analyse socio-economic data in space and time. In this paper, we present a set of historical data consisting of administrative unit boundaries and exemplary socio-economic attributes for Austrian Silesia, an histo...

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Veröffentlicht in:Scientific data 2020-06, Vol.7 (1), p.208-208, Article 208
Hauptverfasser: Ostafin, Krzysztof, Kaim, Dominik, Siwek, Tadeusz, Miklar, Anna
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Sprache:eng
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Zusammenfassung:Scientists from many disciplines need historical administrative boundaries in order to analyse socio-economic data in space and time. In this paper, we present a set of historical data consisting of administrative unit boundaries and exemplary socio-economic attributes for Austrian Silesia, an historical region located in modern Czechia and Poland. The dataset covers nearly 700 administrative unit boundaries on the level of cadastral or political communes and their subparts and was acquired through manual vectorisation of historical maps (1:28,800) from the period 1837–1841. The local-level units can be easily joined into higher-level divisions such as court or political districts for the period 1837–1910. The data can then be combined with statistical data collected approximately every 10 years for a similar period. Within the quality assessment, the relations between cartographic and census data and their credibility are analysed. The present dataset provides many possibilities for joining a wide range of historical statistical data to better understand various demographic and economic processes based on advanced analyses, e.g., by using GIS. Measurement(s) administrative region • Socioeconomic Indicator Technology Type(s) digital curation Factor Type(s) time period Sample Characteristic - Environment anthropogenic environment Sample Characteristic - Location Poland • Czech Republic Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.12464801
ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-020-0546-z