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This paper describes the general architecture of the decision support system. This system is intended for solving problems of spatial planning and regional management. Spatial planning allows for the analysis and coordination of various activities in time and space, taking into account the state of the surrounding ecosystems. Application of spatial planning methods in the scale of a region allows to estimate complex influence of various activities (economic, environmental, military, etc.) both on natural and ecological systems, and on other activities. In addition, spatial planning methods allow to detect and prevent potential conflicts between major stakeholders operating within a region's borders. Currently, spatial planning and regional management decision makers use different software systems to analyse heterogeneous data. However, such systems are often imperfect and cannot meet the information needs of decision makers. We believe that in order to improve the efficiency of decision support it is necessary to carry out preliminary preparation of visualized information in accordance with the information needs of a particular user. For this purpose, we suggest using adaptive approaches to visualize heterogeneous data, including cognitive geovisualization. The architecture offered in the paper will increase the efficiency of decision making in the field of spatial planning and regional management. The architecture includes methods and tools of detection and identification of potential contradictions, associated with the activity of the main stakeholders of the region, operating common natural objects, resources and territories. To identify potential conflicts of nature users, the previously developed conceptual model of the subject area, semantic model of the subject area and technology for dynamic visualization of spatial data are used. The integrated approach to data processing and visualization proposed in this paper can be used to build cognitive user interfaces for decision support systems. [ABSTRACT FROM AUTHOR]

The purpose of our research is to develop methods, models and algorithms of cognitive geovisualization for regional management support systems. The paper describes the information technology of automated synthesis of cognitive user interface. The cognitive interface increases the efficiency of working with space-time data when solving spatial planning tasks. We used the methods of system analysis, conceptual modeling and ontological design of subject area. Special attention was paid to the issues of user interaction with the information system and the problem of cognitive user overload. As a result, the method of dynamic visualization of spatial data for cognitive interfaces of regional management support systems was developed. This method allows you to visualize space-time data, taking into account the context of the visual data analysis task. A feature of the method is the ability to adapt the resulting geo-images taking into account the peculiarities of visual information perception by the end user. For this purpose, special algorithms were developed that allow to take into account the semantic description of objects of visualization. The developed method can be used to implement cognitive interfaces in information systems supporting regional management and spatial planning. [ABSTRACT FROM AUTHOR]