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MATHEMATICAL-CARTOGRAPHIC MODELING AND CARTOGRAPHY OP DEMOGRAPHIC SITUATION IN THE REGIONS OF EUROPE AND RUSSIA

Abstract

Introduction. The paper describes the methodology for applying the algorithm of mathematical cartographic modeling of typological maps to develop a typology of the demographic situation and the use of these tools for geodemographic research and monitoring of a vast territory. The formation of sound ideas about the differentiation of geodemographic space makes it possible to quickly signal the required changes in the demographic policy and socio-economic transformations of a particular territory. Materials and methods of research. In the framework of the study of the demographic development of the countries of Europe and Russia, three typologies were developed based on various sets of indicators. The thematic content of three series of typological maps for the period from 2005 to 2016 was modeled. For these purposes, a multivariate typology algorithm was used for homogeneous territorial units, united into groups (taxa). Results of research and discussion. The multivariate typology gave heterogeneous results, which makes it possible to assess a wide range of territorial features of the demographic characteristics of the population and identify patterns of their distribution. So, for the typology of the second option, instead of the indicator of life expectancy, the general mortality rate was used, which strengthens the significance of this development for the analysis of the demographic movement of the population and gives a clearer idea of the causes and genesis of the dynamics of the demographic situation. In this particular case, calculations of the heterogeneity coefficient showed that five taxa should be distinguished. Conclusions. The developed mathematical-cartographic model of the typology of the regions of Europe and Russia for three sets of indicators of demographic development allows us to see the spatial patterns of the demographic development of the territory and consider new facets of the territorial differentiation of the regions under consideration

About the Authors

A. I. Igonin
Lomonosov Moscow State University
Russian Federation


V. S. Tikunov
Lomonosov Moscow State University
Russian Federation


References

1. Игонин А.И. Создание справочно-аналитической геоинформационной системы мониторинга демографического развития Европы и Азиатской части России: автореф. дис.. на соиск. уч. ст. канд. геогр. Наук М.: МГУ имени М.В. Ломоносова, 2012. 26 с.

2. Практическая демография / под ред. Л.Л. Рыбаковского. М.: ЦСП, 2005. 280 с.

3. Тикунов В.С. Классификации в географии: ренессанс или увядание? (Опыт формальных классификаций). М.; Смоленск: изд. СГУ. 1997. 367 с.

4. Демография. http://www.gks.ru/wps/wcm/connect/rosstat_main/ rosstat/ru/statistics/population/demography/ (Дата обращения: 16.03.2019).

5. Harris R., Johnston R., Burgess S. Neighborhoods, Ethnicity and School Choice: Developing a Statistical Framework for Geodemographic Analysis // Popul Res Po- licy Rev. 2007. No26. Р. 553-579.

6. Horn M., Koppen B. Demographischer Wandel in Deutschland- die lokale und regionale Perspektive. Universitat Koblenz-Landau, 2007. P. 13-35.

7. Singleton A., Longley P. Geodemographics, visualisation, and social networks in applied geography // Applied Geography. 2009. No29. P. 289-298.

8. Total fertility rate by NUTS 2 region URL: https://ec.europa.eu/eu-rostat/data/database?node_code=tgs00062 (Дата обращения: 12.03.20199. Conception statistics, England and Wales https:// www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsand-marriages/conceptionandfertilityrates/datasets/conceptionstatistic-senglandandwalesreferencetables (Дата обращения: 19.03.2019)


Review

For citations:


Igonin A.I., Tikunov V.S. MATHEMATICAL-CARTOGRAPHIC MODELING AND CARTOGRAPHY OP DEMOGRAPHIC SITUATION IN THE REGIONS OF EUROPE AND RUSSIA. Science. Innovations. Technologies. 2019;(3):115-130. (In Russ.)

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ISSN 2308-4758 (Print)