Digital information models as geospatial research tools
The list of sectors of the economy that need digital geoinformation support for territories is growing dynamically. The conceptual and semantic apparatus of digital modeling of objects is developing no less dynamically, which often duplicates the essence of the terms used in geodesy and cartography, but uses other, sometimes contradictory, formulations. The problems of discrepancies in names, formats and the lack of well-established transformation algorithms do not allow achieving the maximum synergistic effect in information modeling technology and in practical economic activity. This work is devoted to identifying and systematizing problems based on an analysis of the current regulatory legal acts and trends in digital information modeling. The approaches to digital information modeling of objects at the micro and macro levels are compared. The possibility of creating new knowledge, not amenable to algorithmization, based on associative perception of a three-dimensional visual image of a model, is considered. Discrepancies of essentially identical terms in the conceptual and semantic apparatus of modeling at the micro and macro levels are presented. The necessity of synchronization of definitions and composition of terms has been established. A mechanism for the formation of a classifier of attributes of a micro-level model based on well-established and debugged terms of a developed set of classifiers used in macro-level models is proposed. Using a specific example of urban environment modeling (CIM), the role of the macro-level model as a consolidating basis for the interoperable integration of heterogeneous micro-level models is substantiated. The problem of developing an optimal algorithm for converting normative formats of data representation of micro-level models into formats of macro-level models and vice versa is formulated. Consolidation of BIM and GIS community resources is proposed for the purposeful development of information modeling technologies.