Journal of Siberian Federal University. Humanities & Social Sciences / 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)

Full text (.pdf)
Issue
Journal of Siberian Federal University. Humanities & Social Sciences. 2016 9 (7)
Authors
Bryukhanova, Elena A.; Dronov, Sergey V.; Chekryzhova, Oksana I.
Contact information
Bryukhanova, Elena A.:Altai State University 61a Lenina pr., Barnaul, 656049, Russia; E-mail: ; Dronov, Sergey V.:Altai State University 61a Lenina pr., Barnaul, 656049, Russia; Chekryzhova, Oksana I.:Altai State University 61a Lenina pr., Barnaul, 656049, Russia
Keywords
Siberia; employment; database; the 1897 census; cluster analysis; cartographic analysis; regionalization
Abstract

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

Pages
1651-1660
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/20419

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