Development and Research of Models for Optimization Information Flow in Interactive Analysis Big Data in Geographic Information Systems

A large number of areas of application of geographic information systems (GIS) involves the continuous accumulation data. The need to record the state of an observed object or phenomenon generates an intense flow of heterogeneous data over long-time intervals. The period of storage of the received information in many cases is not limited and is limited solely technical capabilities of archiving information. For this reason, GIS databases correspond to modern ideas about big data (big data), since they have a significant volume that is constantly growing, are heterogeneous in presentation formats, and have a value determined by a reliable display of objects, phenomena and events of the real world. A new model of representation of the analysis workspace by two informational components, skeleton and environment, is proposed. The skeleton is formed by deterministic queries to the GIS database, the environment is built by intelligent procedures as a shell of the skeleton. The difference of the proposed concept is the use of a utility function, the parameters of which are the complexity of the skeleton and the environment. The application of the proposed concept allows optimizing the quality of decision-making by maximizing the utility function of the workspace.