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Spatial Approach to the Analysis of the Employment Data in Siberia Based on the 1897 Census (the Experience of Multivariate Statistical Analysis of the District’s Data)

Bibliographic Data

ID7861126
AuthorsElena A Bryukhanova, Elena А Bryukhanova (Altai State University), Sergey V Dronov, V Dronov, Oksana I Chekryzhova (Altai State University)
Year2016
Volume9
Issue7
Pages1651-1660
Publication date2016-07-01
Open AccessYes
TypeARTICLE
VenueJournal of Siberian Federal University Humanities & Social Sciences (JOURNAL)
Journal identifiersISSN: 1997-1370 • E-ISSN: 2313-6014
PublisherSiberian Federal University (PUBLISHER • RU)
DOI10.17516/1997-1370-2016-9-7-1651-1660
OpenAlexW2502757933
LanguageEN

The article presents an original approach to regionalization of Siberia at the turn of 19th -20th centuries.The subdivision into districts is based on the typology of districts (uezds) in Siberia, which allows to make a more detailed spatial analysis of the data on employment of the 1897 census.The key source of the research has become an open information resource developed on the basis of the published materials of the 1897 census by the number of occupational groups, their gender, age and ethnic composition.Application of mathematical methods such as cluster analysis, post-hoc method and coefficient of cluster differences, allowed not only to identify the socio-demographic and economic types of Siberian districts, but also to rank the importance of the factors for determining the "appearance" of the districts.Further implementation of the cartographic method to analyze the sets of clusters defined spatial boundaries of socio-economic districts in Siberia.This study contributes to comprehensive understanding of the peculiarities of development of Siberian territories and enhancement of modernization processes at the turn of the 19th -20th centuries

Cartography · Census · Geography · Multivariate analysis · Multivariate statistics · Population · Regional science · Remote sensing · Sociology · Spatial analysis · Statistics · Demography · Mathematics · Night-time city culture · Regional Socio-Economic Development Trends

Highly citedNo

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