TY - JOUR
AU - 
AB - (IJACSA) International Journal of Advanced Computer Science and Applications, Methods and Architectural Patterns of Storage, Analysis and Distribution of Spatio-temporal Data Stanislav A. Yamashkin Anatoliy A. Yamashkin Institute of Electronic and Lighting Engineering Geography Faculty National Research Mordovia State University National Research Mordovia State University Saransk, Russia Saransk, Russia 3 4 Ekaterina O. Yamashkina , Sergey M. Kovalenko Institute of Information Technologies, MIREA — Russian Technological University Moscow, Russia Abstract—The work describes the key principles of the integration, processing and analysis, storage, visualization and process of building digital spatial data infrastructures for dissemination of large volumes of spatial and temporal data: effective decision-making in the management of natural systems 1) Creation and experimental substantiation of new and for the sustainable development of the regional economy. The following reference points are considered in detail: geoinformation methods and algorithms for complex increasing the accuracy of the deep learning and neural networks interpretation of remote sensing data, digital maps and algorithmic and software for the process of analyzing spatial auxiliary space-time information using deep machine learning. data, developing storage systems for large spatio-temporal data 2) An experimental study of systemic connections and by developing new physical and logical storage models, patterns of 
TI - Methods and Architectural Patterns of Storage, Analysis and Distribution of Spatio-temporal Data
JF - International Journal of Advanced Computer Science and Applications
DO - 10.14569/ijacsa.2021.0120867
DA - 2021-01-01
UR - https://www.deepdyve.com/lp/unpaywall/methods-and-architectural-patterns-of-storage-analysis-and-mEHG83H3J3
DP - DeepDyve
ER -