Method of creating animated maps of urban population dinamics in Russian Federation during 1959–2018

DOI: 10.35595/2414-9179-2019-1-25-138-150

View or download the article (Rus)

About the Authors

Ilya A. Rylskiy

Lomonosov Moscow State University,
Leninskie Gory, 1, 119991, Moscow, Russia,
E-mail: rilskiy@mail.ru

Marina V. Gribok

Lomonosov Moscow State University,
Leninskie Gory, 1, 119991, Moscow, Russia,
E-mail: gribok.marina@gmail.com

Olga Yu. Chereshnya

Lomonosov Moscow State University,
Leninskie Gory, 1, 119991, Moscow, Russia,
E-mail: chereshnya.o@yandex.ru

Ilya V. Kalinkin

Lomonosov Moscow State University,
Leninskie Gory, 1, 119991, Moscow, Russia,
E-mail: ilyakl@yandex.ru

Abstract

Despite the rapid development of computer graphics and digital animation technologies, the possibilities for their truly widespread use of animated maps appeared only now. Previously widespread use of similar mapping products has been hindered by low resolution monitors. Currently, when mobile devices with high-resolution color displays, sufficient computing power and the ability to connect to the Internet, have gained widespread acceptance, great possibilities open up for animated maps. However, over the past quarter century, the process of creating animated maps has not become easier. Compared to conventional static maps, to create an animation map, it is necessary to evaluate not only the spatial, but also the time scale, take into account the peculiarities of using conventional symbols in all frames, etc. In this paper, using the example of a statistical series for seventy years (1958–2018), an attempt was made to develop a series of “frames” for creating animated maps of point objects in scale to 1:20 000 000. Various versions of animated maps were made using different dynamic scales of icons, different time scales for displaying extremely diverse in their composition and dynamics of changes in the population size of cities in the Russian Federation. As a source of population data, information from open sources (including Wikipedia data and population censuses) was used. The analysis was carried out for 165 settlements of urban type. To create separate raster images of maps, geo-information software (ArcView) was used, among which specialized software was developed to produce a series of raster images with predetermined city display parameters using previously entered GIS data.

Keywords

animated map, dynamics, cartography, population of cities, GIS, geoinformation data, software

References

  1. Berliant M.A., Ushakova L.A. Cartographic animation. Moscow: Scientific world, 2000. 108 p. (in Russian).
  2. Bogomolov N., Rylskiy I., Tikunov V. Creation of the Anamorphoses-Based 3D-Pyramidal BlockDiagrams. Advances in spatial data handling: Х International Symposium on Spatial Data Handling. Dianne. Berlin: Springer, 2000. Р. 465–473.
  3. Cornwall B., Robinson A. Possibilities for computer animated films in cartography. Cartographic Journal, 1966. V. 3. No 2. P. 79–82.
  4. DiBiase D., MacEachren A.M., Krygier J.B., Reeves C. Animation and the role of map design in scientific visualization. Cartography and geographic information science, 1992. V. 19. No 4. P. 201–214.
  5. Dorling D., Openshaw S. Using computer animation to visualize space-time patterns. Environment and Planning. Planning and design, 1992. V. 19. No 6. P. 639–650.
  6. Dransch D. Computer-animation in der kartographie: theorie und praxis. Heidelberg: Springer, 1997. 145 p. (in German).
  7. Gribok M.V., Gubanov M.N., Igonin A.I., Kiselyova N.M., Kozhukhar A.Yu., Kotova T.V., Markova O.I., Maslennikova V.V., Nokelaynen T.S., Rubanov I.N., Rylskiy I.A., Tikunov V.S., Chereshnya O.Yu. Role of complex mapping in environmental education to ensure the noospheric development of the regions. Materials of the I International environmental forum in Crimea “Crimea—ecological and economic region. The space of noosphere development”. Sevastopol, 2017. P. 433–436 (in Russian).
  8. Harrower M.A look at the history and future of animated maps. Cartographica: The international journal for geographic information and geovisualization. Toronto: University of Toronto Press, 2004. V. 39. No 3. P. 33–42.
  9. Harrower M. The cognitive limits of animated maps. Cartographica: The International journal for geographic information and geovisualization, 2007. V. 42. No 4. P. 349–357.
  10. Harrower M. Tips for designing effective animated maps. Cartographic perspectives, 2003. No 44. P. 63–65.
  11. Harrower M., Fabricant S. The role of map animation for geographic visualization. Geographic visualization: concepts, tools and applications. New Jersey: Willey, 2008. P. 49–65.
  12. Kapralov E.G., Koshkaryov A.V., Tikunov V.S. Fundamentals of geoinformatics. Textbook for university students in 2 books. Мoscow: Akademia, 2004. 480 p. (in Russian).
  13. Moellring H. Strategies of real-time cartography. Cartographic journal, 1980. No 17 (1). P. 12–15.
  14. Moellring H. The potential uses of a computer animated film in the analysis of geographical patterns of traffic crashes. Accident analysis and prevention, 1976. P. 215–227.
  15. Peterson M.P. Interactive and Animated Cartography. Englewood Cliffs, NJ: Prentice Hall, 1995. 464 p.
  16. Rylskiy I.A. Construction of animated maps of the dynamics of forest cover and ploughing of the European part of Russia over the past 300 years. Proceedings of the International Conference InterCarto 6 “GIS for sustainable development of territories”. Apatity, 2000. V. 1. P. 117–121 (in Russian).
  17. Thrower N.J. Animated cartography. The professional geographer, 1959. V. 11. No 6. P. 9–12.

For citation: Rylskiy I.A., Gribok M.V., Chereshnya O.Yu., Kalinkin I.V. Method of creating animated maps of urban population dinamics in Russian Federation during 1959–2018. InterCarto. InterGIS. GI support of sustainable development of territories: Proceedings of the International conference. Moscow: Moscow University Press, 2019. V. 25. Part 1. P. 138–150. DOI: 10.35595/2414-9179-2019-1-25-138-150 (in Russian)