Abstract
The work describes the key principles of the process of building digital spatial data infrastructures for effective decision-making in the management of natural systems and for the sustainable development of the regional economy. The following reference points are considered in detail: increasing the accuracy of the deep learning and neural networks algorithmic and software for the process of analyzing spatial data, developing storage systems for large spatio-temporal data by developing new physical and logical storage models, introducing effective geoportal technologies and developing new architectural patterns for presentation and further dissemination of spatio-temporal using modern web technologies. The plan for working out a scientific problem of development of methods and architectural patterns of storage, analysis and distribution of spatio-temporal data determined the structure of the article. The first section concretizes the criteria of efficiency of information processes in the digital spatial data infrastructure (SDI), the second section discusses algorithmic support of the process of analysis of spatial data, the third – integration of spatial data, and finally, the final section – implementation and project-oriented use of geoportal systems.
Highlights
The development of digital spatial data infrastructures (SDI) should be based on a comprehensive solution to a system of problems aimed at finding effective solutions in the field of integration, processing and analysis, storage, visualization and dissemination of large volumes of spatial and temporal data: 1) Creation and experimental substantiation of new geoinformation methods and algorithms for complex interpretation of remote sensing data, digital maps and auxiliary space-time information using deep machine learning
4) Creation of effective architectural solutions in the field of building geoportal systems for the integration of knowledge, visualization and dissemination of spatio-temporal data of digital SDI in order to organize a fundamental basis for the synthesis and system analysis of expert information when making management decisions in the field of sustainable development, forecasting the development of natural and manmade processes, including natural phenomena
The first section concretizes the criteria of efficiency of information processes in the digital SDI, the second section discusses algorithmic support of the process of analysis of spatial data, the third – integration of spatial data, and the final section – implementation and project-oriented use of geoportal systems
Summary
Abstract—The work describes the key principles of the process of building digital spatial data infrastructures for effective decision-making in the management of natural systems and for the sustainable development of the regional economy. The following reference points are considered in detail: increasing the accuracy of the deep learning and neural networks algorithmic and software for the process of analyzing spatial data, developing storage systems for large spatio-temporal data by developing new physical and logical storage models, introducing effective geoportal technologies and developing new architectural patterns for presentation and further dissemination of spatio-temporal using modern web technologies. The first section concretizes the criteria of efficiency of information processes in the digital spatial data infrastructure (SDI), the second section discusses algorithmic support of the process of analysis of spatial data, the third – integration of spatial data, and the final section – implementation and projectoriented use of geoportal systems
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