An assembled model of multilayer geoinformation space-time

Modern organizational management technologies involve collecting and processing large amounts of data to calculate the parameters of the functioning of the objects and processes under study. Since the main feature of the collected parameters is their binding to territories, on the one hand, and attribution to time periods, on the other hand, the use of geographic information systems and technologies is required. Despite the development of modern geographic information technologies, the issues of their practical application to support decision-making, taking into account the combined influence of spatial and temporal factors, have not been fully resolved. The article proposes an assembled model of geoinformation multilayer space-time, which is a graph whose vertices are the parameter values ordered by layers with the placement of time marks in the time layer, and the arcs describe the relations between them that are divided into three types: topological, semantic and chronological. Conjugation and ordering of parameters, according to the proposed model, allows you to correctly pose and solve the optimization problem, and, consequently, eliminate the problem of the practical use of accumulated analytics in the processes of supporting management decision-making. The proposed model is used in the digital platform of integral monitoring for the digital transformation of the processes of collecting, analyzing and visualizing utility resource data. The general management task is considered, and a specific example is given for one of the urgent tasks of regional management, i.e. social gasification, in which the optimization of the process of processing applications for connecting residential buildings to the gas supply system within the boundaries of the selected region is carried out. The assembled model of geoinformation multilayer space-time allows formulating universal statements of decision support problems for various geoinformatics applications in logistics, transport resource management, as well as in situational centers for enterprise and regional management, business analytics systems and organizational systems management.