The Method of Generalizing Spatial Information into a Single Multidimensional Data Model
Tetyana Honcharenko1, Yurii Andrashko2, Olena Fedusenko3, Iryna Domanetska4, Nataliia Olkhova5
1Tetyana Honcharenko, Department of Information Technology, Kyiv National University of Construction and Architecture, Kyiv, Ukraine.
2Yurii Andrashko, Department of system analysis and optimization theory, State University «Uzhhorod National University», Uzhhorod, Ukraine.
3Olena Fedusenko, Department of Intelligent Technologies, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine.
4Iryna Domanetska, Department of Intelligent Technologies, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine.
5Nataliia Olkhova, Department of Theory and Teaching Methodology of Primary Education, Lesya Ukrainka Eastern European National University, Lutsk, Ukraine. 

Manuscript received on November 12, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on 30 November, 2019. | PP: 8426-8432 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9419118419/2019©BEIESP | DOI: 10.35940/ijrte.D9419.118419

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Abstract: The study presents innovative method of generalizing spatial information into a single multidimensional data model technology based on multidimensional information objects (MIO). This advanced method is intended to describe various types of spatial information of general planning objects at a construction site and their generalization into a single multidimensional model of general plan data. The method was further developed on the basis of newly introduced operations on multidimensional information objects. The operations of simple and generalized change and spatial generalization make it possible to integrate heterogeneous spatial information into single information space at all organizational levels of management while maintaining its integrity. The paper considers mathematical descriptions and graphic representations of information models of various types of spatial objects of general planning based on multidimensional information objects.
Keywords: Spatial Data, Multidimensional Information Objects, MIO, Multidimensional Modeling, Spatial Generalization.
Scope of the Article: Information Retrieval.