VolRC RAS scientific journal (online edition)
19.03.202403.2024с 01.01.2024
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Journal section "Socio-economic research"

Issues of Application of Geo-Information Technologies in Agent-Based Modeling of the Regional Forest Complex

Gulin K.A., Rigin V.A.

5 (12), 2017

Gulin K.A., Rigin V.A. Issues of Application of Geo-Information Technologies in Agent-Based Modeling of the Regional Forest Complex. Social area, 2017, no. 5 (12). URL: http://socialarea-journal.ru/article/2437?_lang=en

Abstract   |   Authors   |   References
The article gives an overview of the development of geo-information technologies and methods of agent-based modeling and considers the possibilities of integration of these technologies in the construction of simulation models by Russian and foreign researchers. The article presents an overview of the capabilities of modern geo-information technologies, the current status of methods of remote sensing and thematic mapping as the foundation for modern geographic information systems. We consider in more detail the basic stages of development of distributed geographic information systems, their main advantages compared to desktop systems and make a review of basic tools for processing and analyzing spatial data. We define the main advantages of web geographic information systems as a result of the integration of web technology and geographic information systems and their areas of use in the forest industry, we present the general architecture of web-oriented geo-information system of the regional forest complex. In the final part, we consider the integration of agent-based modeling and geographic information systems, define the main advantages of using data integration technologies, identify the main stages of building agent-based models using spatial data, analyze agent-based models using geographic information systems developed by Russian and foreign researchers. As a result, we identify the different levels of integration and key issues of using spatial data of geographic information systems in agent-based models

Keywords

agent-based modeling, geographic information systems, integration of agent-based models and geographic information systems, regional forest complex

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