Open AccessDevelopment of project-oriented spatial data infrastructure using cloud technologies
Author(s) -
Stanislav A. Yamashkin,
Anatoliy Yamashkin,
S.A. Fedosin
Publication year - 2019
Publication title -
radiopromyšlennostʹ
Language(s) - English
Resource type - Journals
eISSN - 2541-870X
pISSN - 2413-9599
DOI - 10.21778/2413-9599-2019-29-3-79-90
Subject(s) - spatial data infrastructure , computer science , cloud computing , geoportal , spatial analysis , data science , field (mathematics) , documentation , systems engineering , geographic information system , geography , engineering , gis and public health , remote sensing , mathematics , pure mathematics , programming language , operating system
The article includes the issues of design, development and introduction of project-oriented spatial data infrastructures (SDIs) that build the information space to solve pressing challenges in economy, ecology, social services, in the field of preparation of pre-investment, urban planning, pre-project, project documentation, and natural disaster forecasting. It also provides an overview of a historical development of spatial data infrastructures in Russia and in the world. Based on an analysis of a historical landscape within the challenging area, authors have identified the following system components of SDIs: users and professionals, data, technologies, standards, regulatory frameworks, and institutional procedures. There is a proposed platform solution architecture to build SDI, summarized in a form of a structure-component scheme. It rests upon the hypothesis that in order to optimize spatial data storage and application-related processes, the project-oriented SDI needs to include loosely bound and closely bound subsystems for spatial data storage (cloud or local storages), analysis and synthesis modules, as well as modules for visualization and distribution of spatial data (as geoportal systems).