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
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.

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