Intelligent Planning of Spatial Analysis Process Based on Contexts

Spatial situations are the subject of analysis in many life support systems, manufacturing and business. Finding a solution of applied problem in conditions of lack of information gives rise to an interactive process of studying the situation, the participants of which are the user-analyst and geoinformation service. In the process of interaction, the analyst seeks to achieve situation awareness sufficient to generate, evaluate and make rational decisions. This paper explores the functioning of an intelligent recommender system designed to reduce the cognitive load on the user. At the heart of its work is planning a sequence of analysis contexts. The context refers to the information structure necessary for the presentation of cartographic information to the analyst. It is assumed that the geoservice has a set of contexts, and each analysis session is a time series of contexts. The problem of minimizing the number of contexts providing the necessary situational awareness of the analyst is considered. The presentation of the experience of analysis by the components of level, trend and rhythm is proposed. The results of an experimental study of the proposed method are presented too.