Spatial Data Management

СПб. : Naukoemkie Technologii, 2023.

Rodriges Zalipynis R. A.

Experts estimate that location (spatial) components are part of about 80% of all data in the world. Spatial Data are crucial for Urban, Forest, and Water Management, Rapid Response to Emergencies, Air Quality Control, Food Security, Environmental Monitoring, and myriads of other practical tasks.

The Course Syllabus (Curriculum) proposes to acquire fundamental knowledge and skills in Spatial Data Management by studying the Theoretical Stack (includes definitions, algorithms, and approaches) and the Technological Stack (includes instruments, systems, and libraries) of the subject area. The course broadly covers programmatic aspects of spatial data management including spatial data storage, processing, and visualization. We use real-world spatial data, for example, vector city maps and Earth remote sensing data. The Course Syllabus (Curriculum) can help students deeply understand spatial data peculiarities, master the theoretical basis, and undergo intensive practical training in applying key methods and tools for managing spatial data.

University instructors, senior undergraduate and junior graduate computer science students, as well as anyone interested in Spatial Data Management are the target audience for this Course Syllabus (Curriculum).

Keywords: practice, практика, DBMS, raster data, СУБД, Earth remote sensing data, vector data, растровые данные, векторные данные, данные дистанционного Земли