IDEAS home Printed from https://ideas.repec.org/a/spr/rrorus/v7y2017i4d10.1134_s2079970517040098.html
   My bibliography  Save this article

Schematics of Russia’s averaged regions: Modeling attempted “from below”

Author

Listed:
  • A. I. Treivish

    (Russian Academy of Sciences)

Abstract

An inductive approach is proposed and implemented to model (schematize) an averaged region of contemporary Russia, its main macrozones, and the part of it that approximately corresponds to the Russian Empire in the late 19th century. The main technique is the averaging of statistical indicators and, if possible, spatial structures of 82 regions close to the federal subjects, as well as 47 gubernatorial units at the end of the 19th century according to six selected groups of features (properties): from the geographical shape and composition of a region’s external contour to the number and pattern of transport arteries and natural watercourses. The results are visualized as maplike schematics, or cartoids. The stages and techniques of filling the schematics with content, that is, with property groups and respective thematic image layers are described. The present day regions are assessed by the degree of their correspondence to the model cartoid according to 24 indicators; cases and grounds for strong deviation are identified. In conclusion, problems and capabilities of applying the proposed idea are briefly discussed, e.g., for “geographizing” regional and national typologies.

Suggested Citation

  • A. I. Treivish, 2017. "Schematics of Russia’s averaged regions: Modeling attempted “from below”," Regional Research of Russia, Springer, vol. 7(4), pages 291-302, October.
  • Handle: RePEc:spr:rrorus:v:7:y:2017:i:4:d:10.1134_s2079970517040098
    DOI: 10.1134/S2079970517040098
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1134/S2079970517040098
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1134/S2079970517040098?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:rrorus:v:7:y:2017:i:4:d:10.1134_s2079970517040098. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.