GIS-technologies for social investigations
Abstract
GIS technologies increase the potential of socio-economic studies, i. e. they support collection, storage, processing and display of spatial data and documents related to a specific territory, as well as provide tools for system analysis of the situation, comparison and typology of territories and visualization of results. The range of sources for socio-economic research is steadily expanding; in addition to official statistics, “big data”, text documents, photographs, audio and video recordings, aerial photography, space photography, remote sensing of the Earth and other are available. GIS technologies make it possible to integrate various types of data characterizing a certain territory and visualize them in the form of layers on electronic maps. The possibilities offered by GIS make them modern tools for the complex analysis of regions and territories. Using these tools, the scientific community, business and government departments develop GIS applications for the comprehensive study of specific geographic objects, as well as analytical models and educational programs.
Significant GIS applications could be only implemented if there is full-fledged spatial data platform. Elaboration of the national spatial platform, starting with the development of standards for the interoperability of resources available at different government departments and other participating institutions, is the responsibility of government agencies.
The article reviews several GIS applications for social research functioning in foreign and Russian universities and research centers and briefly presents a Russian project to develop an open use platform for the study of socio-economic processes in the subjects of the Russian Federation using GIS tools. Foreign experience and inventions of the Russian scientific community may prove to be important for the promotion of geoinformation research methods in this country.
Keywords
About the Authors
T. N. YudinaRussian Federation
Laboratory of Information Systems, Leading Scientifi c Researcher, Ph.D. in History
A. V. Bogomolova
Russian Federation
Faculty of Economics, Department of macroeconomic planning and strategic management, Associate Professor, Ph.D. in Economics
O. V. Petuhova
Russian Federation
Laboratory of Economic Development Strategy, Leading Scientifi c Researcher, Ph.D. in Economics
A. P. Vainshtok
Russian Federation
Sector of Geoinformation Technologies and Systems, Senior Scientifi c Researcher, Ph.D. in Engineering
References
1. Belogurova E.B., Vorob’ev V.E., Gvozdev O.G. et al. Prostranstvennye dannye: potrebnosti ekonomiki v usloviyah cifrovizacii [Spatial Data: the Needs of the Economy in the Context of Digitalization], The Federal Service for State Registration, Cadaster and Cartography; Higher School of Economics-National research university; ISR “AEROCOSMOS”, Moscow, Higher School of Economics Publ., 2020, 128 p. (In Russian)
2. Bogomolova A.V., Judina T.N., Vajnshtok A.P., Gitis V.G. GIS-tehnologija dlja analiza sub”ektov RF po geostatisticheskim dannym [GIS-technology for the analysis of the Russian Federation subjects on the basis of geostatistical data], Journal of Applied Informatics, 2011, no. 1(31), p. 61–76. (In Russian)
3. Corti P., Kralidis A.T., Lewis B. Enhancing discovery in spatial data infrastructures using a search engine, Peer Journal Computer Science, 2018, no. 4, p. e152.
4. Gitis V., Derendyaev A., Weinstock A. Web-based GIS technologies for monitoring and analysis of spatio-temporal processes, International Journal of Web Information Systems, 2016, vol. 12(1), p. 102–124.
5. Gitis V.G., Derendyaev A.B., Petrov K.N., Weinstock A.P., Dumanskaya I.O., Zatsepa S.N., Zelenko A.A., Ivchenko A.A., Nesterov E.S. Technology of Monitoring and Analysis of the Hydrometeorological Situation in the Arctic, Journal of Communications Technology and Electronics, 2018, vol. 63(6), p. 691–705.
6. Gitis V.G., Derendyaev A.B., Weinstock A.P. Web-Based Geographic Information Technologies for Environmental Monitoring and Analysis, Computational Science and Its Applications – ICCSA 2015. ICCSA 2015, Lecture Notes in Computer Science, 2015, vol. 9157.
7. Janikas M.V., Rey S.J. Spatial Clustering, Inequality and Income Convergence, Region Development, 2005, vol. 21, p. 45–64.
8. Malysheva N.V., Zolina T.A., Vladimirova N.A. Lokal’nyj kartograficheskij servis dlya vizualizacii statisticheskih dannyh o leash Rossii [Local cartographic service for visualization of the forest statistics of Russia], Vestn. Mosk. un-ta, Ser. 5, Geogr., 2014, no. 6, p. 32–38. (In Russian)
9. McGuire S. Understanding the use of geographical information systems (GIS) in health informatics research: A review, Journal of Innovative Health Information, 2017, vol. 24(2), p. 940, DOI: 10.14236/jhi.v24i2.940.
10. Overman H. GIS a job: what use geographical information systems in spatial economics, Journal of regional science, 2010, vol. 50(1), p. 165–180.
11. Petuhova O.V., Bogomolova A.B., Yudina T.N. O podhodah k formirovaniyu mezhvedomstvennyh statisticheskih resursov, neobhodimyh dlya monitoring vypolneniya social’nyh programm [On approaches to development of interagency statistical resources for monitoring the performance of social programs], Voprosy statistiki, 2016, no. 6, p. 61–72. (In Russian)
12. Populjah Ju.G., Adadinova L.Ju., Ojdup T.M. Geoinformacionnye tehnologii v sistemnom analize jekonomiki i social’noj infrastruktury territorij [Geoinformation technologies in the system analysis of the economy and social infrastructure of territories], Regional Economics: Theory and Practice, Publishing house FINANCE and CREDIT, 2011, no. 38, p. 2–12. (In Russian)
13. Rey S. Bells in Space: The Spatial Dynamics of US Interpersonal and Interregional Income Inequality, International Regional Science Review, 2015, vol. 41(2), DOI: 10.1177/0160017615614899.
14. Rey S. Bells in Space: The Spatial Dynamics of US Interpersonal and Interregional Income Inequality, Sage Journal, 2016, vol. 41, iss. 2, p. 152–156.
15. Riker W.H., Ordeshook P.C. A Theory of the Calculus of Voting, American Political Science Review, 1968, vol. LXII, p. 25–42.
16. Wandl A. Territories-in-between. A Cross-case Comparison of Dispersed Urban Development in Europe, Architecture and the Built Environment, 2020, no. 2, DOI:10.7480/abe.2019.14.
17. Worral L. Spatial analysis and spatial policy using geographic information systems, London, Belhaven Press, 1991, 236 p.
18. Yudina T.N., Bogomolova A.V., Petuhova O.V. Universitety i obrazovatel’nye tekhnologii dlya razvitiya obshchestva [Universities and Educational Technologies for Social Development], Educational Technology and Society, 2015, vol. 18, no. 3, p. 462–487. (In Russian)
19. Web sources
20. Advancement of the national spatial data infrastructure, Federal Geographical Data Committee, URL: https://www.fgdc.gov/nsdi/nsdi.html ( access date 30.10.2020).
21. Botoroeva E. Matvienko predlozhila dorabotat’ Strategiju prostranstvennogo razvitija Rossii do 2025 goda [Matvienko proposed to finalize the Strategy of the spatial development of Russia until 2025], Parliamentary newspaper, August 18, 2020, URL: https://www.pnp.ru/social/matvienko-predlozhila-dorabotat-strategiyu-prostranstvennogo-razvitiya-rossii-do-2025-goda.html (access date 10.30.2020).
22. Coronavirus (COVID-19), URL: https://coronavirus-monitorus.ru/ (access date 14.01.2022). (In Russian)
23. COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU), URL: https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 (access date 06.10.2020).
24. Data Distribution Report ‒ Go-Geo! The Geo-Data Portal Project, URL: https://studylib.net/doc/9008437/data-distribution-report---go-geo--the-geo-data-portal-pr (access date 30.10.2020).
25. Data Distribution Report – Go-Geo! The Geo-Data Portal Project, URL: https://studylib.net/doc/9008437/data-distribution-report---go-geo--the-geo-data-portal-pr (access date 30.10.2020).
26. Direktiva 2007/2/ES Evropejskogo parlamenta i Soveta Evropy ot 14 marta 2007g. po sozdaniyu infrastruktury prostranstvennoj informacii ES (INSPIRE) [European Parliament and Council of Europe Directive, # 2007/2/ES, March 14, 2007], URL: http://base.garant.ru/70440734/(access date 10.10.2020). (In Russian)
27. Edinyj arhiv sociologicheskih i ekonomicheskih dannyh NIU VSHE [Unified archive of sociological and economic data of the National Research University Higher School of Economics], URL: http://sophist.hse.ru/ (access date 06.04.2020). (In Russian)
28. Executive order 12906, 1994, URL: https://govinfo.library.unt.edu/npr/library/direct/orders/20fa.html (дата обращения 30.10.2020).
29. Geoinformation technologies, geomarketing, geodata: GISGeo, URL: http://gisgeo.org/gisportal/geoportals.html (access date 10.10.2020).
30. GIS Association (potal), URL: http://gisa.ru (access date 10.10.2020). (In Russian)
31. GIS COMPASS, Children of Russia, Child wellbeing, URL: https://distcomp.ru/geo/compass (access date 14.01.2022). (In Russian)
32. GIS enhances the spatial intelligence of landscape architects, Faculty of Architecture and the Built Environment, Delft University, URL: https://www.tudelft.nl/en/architecture-and-the-built-environment/research/research-stories/more-stories/2015/gis-enhances-thespatial-intelligence-of-landscape-architects/ (access date 30.10.2020).
33. GIS enhances the spatial intelligence of landscape architects, Faculty of Architecture and the Built Environment, Delft University, URL: https://www.tudelft.nl/en/architectureand-the-built-environment/research/research-stories/more-stories/2015/gis-enhances-the-spatial-intelligenceof-landscape-architects/ (access date 30.10.2020).
34. GIS platform, 2018, URL: http://distcomp.ru/geo/arctic/ (access date 10.10.2020). (In Russian)
35. Howard J. The best and worst US states for children CNN, june 27, 2018, URL: https://edition.cnn.com/2018/06/27/health/child-well-being-state-rankings-study/ (access date 13.01.2022).
36. ICPSR, Inter-University Consortium for Political and Social Research, URL: https://www.icpsr.umich.edu/ ( access date 30.10.2020).
37. INSPIRE Geoportal. Enhancing access to European spatial data, 2020, URL: https://inspire.ec.europa.eu/ (access date 13.01.2022).
38. Local Government: Improving local government operations and enhancing services provided to the public, URL: https://solutions.arcgis.com/gallery/#s=0 (access date 06.10.2020).
39. Materialy Mezhdunarodnoi konferensii “InterCarto. InterGIS” [Proceedings of International Conference “InterCarto. InterGIS”], URL: http://intercarto.msu.ru/jour/index.php?lang=ru (access date 22.11.2020). (In Russian)
40. Matvienko proposed to finalize the Strategy for Spatial Development of Russia until 2025, Parliamentary newspaper, 18 august 2020, URL: https://www.pnp.ru/social/matvienko-predlozhila-dorabotat-strategiyu-prostranstvennogo-razvitiya-rossii-do-2025-goda.html (access date 30.10.2020). (In Russian)
41. National Spatial Data Infrastructure Strategic Framework, 2016, URL: https://www.fgdc.gov/nsdi-plan/2017/nsdistrategic-framework.pdf (access date 30.10. 2020).
42. Natsionalny standart podgotovki prostranstvennukh dannaykh, GOST Р 53339-2009 [National standard for the preparation of spatial data, GOST R 53339-2009], URL: http://docs.cntd.ru/document/gost-r-53339-2009 (access date 30.10. 2020). (In Russian)
43. Portal sociologicheskih dannyh RANH i GS [Portal of sociological data of the Russian Academy of National Economy and Public Administration], URL: https://social.ranepa.ru/baza (access date 30.10. 2020). (In Russian)
44. Prognosys 2020, URL: http://distcomp.ru/geo/prognosis/ (access date 10.10.2020). (In Russian)
45. Prototype Veb-GIS, 2022, URL: http://geo.iitp.ru/map2/ (access date 14.01.2022). (In Russian)
46. Publichnaya kadastrovaya karta RF [Public Cadastral Map of the Russian Federation], URL: https://public-cadastralmap.rf/ (access date 01.13.2022).
47. Rasporyazhenie pravitel’stva RF ot 21 avgusta 2006 g. no. 1157-r “O Koncepcii sozdaniya i razvitiya infrastruktury prostranstvennyh dannyh RF” [Decree of the Government of the Russian Federation of August 21, 2006, no. 1157-r. About the Concept of Creation and Development of Spatial Data Infrastructure of the Russian Federation], URL: https://www.garant.ru/products/ipo/prime/doc/12049036/#1000 (access date 06.04.2020). (In Russian)
48. Ratti C. MIT Senseable City Lab, URL: http://senseable.mit.edu/ (дата обращения 06.10.2020).
49. Results of 2019 and immediate prospects, The National Spatial Data Infrastructure (NSDI) Federalny Fond Prostranstvennykh dannykh RF [Federal Spatial Data Foundation of the Russian Federation], URL: https://con-fig.com/wp-content/uploads/2020/02/Rebrij_Itogi-2019-goda-i-perspektivy-razvitiya.pdf (access date 13.01. 2020). (In Russian)
50. State Government: Improving state government operations and enhancing services provided to the public, URL: https://solutions.arcgis.com/gallery/#s=0&md=industries:state-government (access date 06.04.2020).
51. Tomlinson R. Geographic Information Systems, Spatial Analysis, and Decision Making in Government, 1974, URL: https://discovery.ucl.ac.uk/id/eprint/1563584/1/Tomlinson_Thesis.pdf (access date 22.11.2020).
52. UIS RUSSIA [University information system], URL: http:// uisrussia.msu.ru (access date 30.10.2020). (In Russian)
53. UK Data Archive, University of Essex, URL: https://www.data-archive.ac.uk/ (access date 30.10.2020).
54. UN Report on the Results of a Survey on Census Methods used by Countries in the 2010, Census Round, 2011, URL: http://unstats.un.org/unsd/censuskb20/KnowledgebaseArticle10696.aspx (access date 06.10.2020).
Review
For citations:
Yudina T.N., Bogomolova A.V., Petuhova O.V., Vainshtok A.P. GIS-technologies for social investigations. Vestnik Moskovskogo universiteta. Seriya 5, Geografiya. 2022;(4):52-63. (In Russ.)