Overview of Methods of Collection and Processing of Geographic Data

Authors : Nazila Ali RAGIMOVA, Vugar Hacimahmu ABDULLAYEV, Jala JAMALOVA

Pages : 6-9

View : 18 | Download : 10

Publication Date : 2021-07-15

Article Type : Research Paper

Abstract :On the eve of Industry 4.0, there are global processes of digitalization and intellectualization of many scientific and economic areas. This article examines changes in geography under the influence of advanced information technologies. These technologies are the Internet of Things insert ignore into journalissuearticles values(for geographic data collection);, Cloud Computing insert ignore into journalissuearticles values(for data storage);, Big Data insert ignore into journalissuearticles values(for data processing);, and Cyber Physical Systems insert ignore into journalissuearticles values(for physical and digital process management required to operate on geographic data);. These technologies turn geographies into geoinformatics, which contributes to the further development of this science. The most useful technologies for geographic data collection are the Internet of Things insert ignore into journalissuearticles values(including things, people, data and processes); and remote sensing of the Earth insert ignore into journalissuearticles values(for remote geographic data collection);. The most useful technologies for processing geographical data are On-Line Analytical Processing insert ignore into journalissuearticles values(for analytical processing of multidimensional data);, Data Mining insert ignore into journalissuearticles values(for finding patterns in the obtained geographical data);, Machine Learning insert ignore into journalissuearticles values(for deep analysis of geographical data); and MapReduce insert ignore into journalissuearticles values(for parallel processing of a large amount of data);. Using methods, a geographical data processing algorithm develop, which consists of three stages. The first stepis to implement the server necessary to form the foundation for data storage and processing. In order for a server to support the operational processing of big data, it must have a distributed file system. The second stage is the design of the database used for the organization and storage of geographical data. The last step is the basic processing and analysis of available geographical data. A paradigm MapReduce uses as an example of data processing.
Keywords : Geoinformatics, Geographic data, Big Data, Internet of Things, Map Reduce