Automation of geospatial objects converting into the classifiers according to the European data standards

2020;
: pp. 228–238
https://doi.org/10.23939/mmc2020.02.228
Received: April 21, 2020
Revised: May 12, 2020
Accepted: May 31, 2020

Mathematical Modeling and Computing, Vol. 7, No. 2, pp. 228–238 (2020)

1
O. M. Beketov National University of Urban Economy in Kharkiv, Department of Computer Science and Information Technology, Faculty of Management
2
O. M. Beketov National University of Urban Economy in Kharkiv, Department of Computer Science and Information Technology, Faculty of Management
3
O. M. Beketov National University of Urban Economy in Kharkiv, Department of Computer Science and Information Technology, Faculty of Management

In the paper, the concept of the formation of the national spatial data infrastructure (NSDI) in Ukraine has been investigated, the complex NSDI industry standards and the classes of objects of the urban-planning cadaster have been analyzed. The complex of problems influencing the development of geo-informational resources in Ukraine has been determined.  Given the current state of the national infrastructure of geospatial data and the urgency of the problems of the use of archival geospatial databases (GDB), a need to develop algorithms for the creation of a unified basis for geographic information systems has been shown.  The method of automation of the conversion of differentiated GDBs according to the updated rules for the digital description of all geospatial objects instances is proposed. The sets of digital maps are considered as three-dimensional arrays of data.  This approach allows us to better navigate in algorithmic processes taking into account a lot of rules for the conversion of objects between two classifiers of different structures.

  1. Standards approved by Ukrgeodezkartographiia (2019), (in Ukrainian).
  2. Borovyi V. O., Kostenko O. B., Zarytskyi O. V.  Ranking of information systems of branches with economic activity.  Emerging Technologies. 2 (4), 5–14 (2017), (in Ukrainian).
  3. Borovyi V. O., Zarytskyi O. V., Domaratska-Parhomchuk O. S.  Application of Zoning in determining the area of land under the adjoining areas.  Land Management Bulletin. 10, 22–27 (2016), (in Ukrainian).
  4. Department of Urban Development and Architecture of the Kharkiv City Council.  System of electronic topographic and geodetic plan of the city of Kharkov. Classifier of spatial objects of executive mapping (2018), (in Ukrainian).
  5. Draft Law.  On the National Spatial Data Infrastructure. In: Laws of Ukraine.  Dated April 13, 2020 N~554-IX (2020), (in Ukrainian).
  6. Dyshlyk  O. P., Dorosh A. I., Tarnopolsky A. V., Tarnopolsky Y. A.  Infrastructure of spatial data in Ukraine: Status and methodological problems of legislative regulation.  Land Management, Cadastre and Land Monitoring. 18, 33–43 (2018), (in Ukrainian).
  7. European Commission.  INSPIRE Generic Conceptual Model. In: INSPIRE Knowledge base.  Data Specifications (2014).
  8. European Parliament, Council of the European Union.  Directive 2007/2/EC of the European Parliament and of the Council of 14 March 2007  establishing an Infrastructure for Spatial Information in the European Community (INSPIRE)  (2007).
  9. Fedorov D. V.  Chapter 6. Classifier.  In: Digitals. Use in geodesy, cartography and land management (2015), (in Russian).
  10. Fedorov D. V.  Appendix D. Introduction to Digitals Script.  In: Digitals. Use in geodesy, cartography and land management (2015), (in Russian).
  11. ISO/TC 211 Geographic information/Geomatics.  Geographic technology standard models and schemas (2020).
  12. Kay S. E.  Challenges in sharing of geospatial data by data custodians in South Africa.  28th International Cartographic Conference, July 2–7, 2017, Washington DC. The Proceedings of the International Cartographic Association. 1, 60 (2018).
  13. Karpinsky Yu. O., Lyaschenko A. A.  New approaches to standardization and technical regulation in area of geographical information.  Collection of Sciences Works Modern Achievements of Geodesic Science and Production. 1 (7), 283–291 (2004), (in Ukrainian).
  14. Karpinsky Yu. O., Lyaschenko A. A.  Geographical information: reference model –- the first fundamental national standard, harmonized with international standards of the series ISO 19100.  Modern Achievements of Geodesic Science and Production. Collection of Scientific Works of the Western Geodesic Society.  1 (19), 198–203 (2010), (in Ukrainian).
  15. Karpinsky Yu. O., Lyaschenko A. A., Runets R. V.  Standard model of topographic data base.  Herald of Geodesy and Cartography.  2 (65), 28–36 (2010), (in Ukrainian).
  16. Karpinsky Yu. O., Lyaschenko A. A., Gorkovchuk M. V.  Conceptual basis for estimation and quality assurance of geospatial data.  Herald of Geodesy and Cartography. 4 (79), 33–42 (2012), (in Ukrainian).
  17. Karpinsky Yu. O., Lyaschenko A. A., et al.  SOU 71.12-37-949:2014. Topographic database: Catalog of objects and attributes.  Ministry of Agrarian Policy and Food of Ukraine, Kyiv (2014), (in Ukrainian).
  18. Kostenko O. B., Zarytskyi O. V.  Decomposition with the Ranking of Information Systems for Infologic Design.  Mathematical Models and New Technologies of Management of Economic and Technical Systems: Collective Monograph.  For Collections. eds. Timofeev V. O., Chumachenko I. V. Kharkiv: FOP Mezina V. V. 247–260 (2017), (in Ukrainian).
  19. Kostenko O. B., Bulayenko M. V., Zarytskyi O. V.  Analysis of mathematical methods of decomposition in systems for reproduction with lost data.  Mathematical Models and New Technologies of Management of Economic and Technical Systems: Collective Monograph.  For Collections. eds. Timofeev V. O., Chumachenko I. V. Kharkiv: FOP Mezina V. V. 261–267 (2017), (in Ukrainian).
  20. Order of Ministry of Regional Development of Ukraine.  Approval of the List of Classes of Objects of the Urban Cadastre.   Dated August 14, 2015 N 193 (2015), (in Ukrainian).
  21. Ostensen O. M., Smits P. C.  ISO / TC211: Standardization of Geographic Information and Geo-Informatics.  IEEE International Geoscience and Remote Sensing Symposium. 1, 261–263 (2002).
  22. Sanderson M., Ramage S., Van Linden L.  SDI Communities: Data quality and knowledge sharing.  Spatial Data Infrastructure Convergence: Building SDI Bridges to address Global Changes, June 15–19, 2009: Proceedings, Rotterdam. GSDI. 11, 1–27 (2009).
  23. Sossa R. I., Golubinka Y. I.  Contemporary challenges to topographical surveying and cartographic support of security and defense sector of the state.  Bulletin of Taras Shevchenko National University. Military-Special Science. 1 (36), 20–23 (2017), (in Ukrainian).
  24. Research Institute of Geodesy and Cartography.  National Infrastructure of Spatial Data of Ukraine.  (2013), (in Ukrainian).
  25. Zaiets I. M., Karpinsky Yu. O., Lyaschenko A. A.  Ukrainian state georgaphy on the way from infrastructure of cartographic production to infrastructure of geospatial data.  Herald of Geodesy and Cartography. 5 (74), 4–11 (2011), (in Ukrainian).
  26. Zarytskyi O. V., Kostenko O. B.  Uncertainty of geospatial data in a dynamic geoinformation system.  3rd International Conference Winter InfoCom Advanced Solutions 2016, Kyiv, December 1–2, 2016, (in Ukrainian).