Abstract
The article describes methods for spherical visualizing of data as global geophysical, environmental, atmospheric processes on the surface of planets and different kinds of processes on the surface of spherical bodies. Such data can be demonstrated through virtual globes and spherical screens. Volumetric visualization significantly increases the degree of visibility, comprehension and assimilation of the demonstrated content and may be used in the scientific and educational process. The main goal of this research is to develop database requirements for spherical visualization. The requirements are based on the modern educational and science research representation approaches. The following tasks have been formed and accomplished: a strict classification of data; a convenient way to interact at the stage of adding data to the database and analyzing; their representativeness; introduction of additional data classifications; the possibility of individual user navigation and a high degree of inter-activity. For the proposed model, the basic functions of the database management system are described. Requirements to a basic hierarchical data model were substantiated. The main object of hierarchical data model is a spherical Slide representing a separate topic of particular discipline. The superstructure is used above the hierarchical model in the form of an individual route map representing a directory with links to the main database.
Highlights
Interactive Spherical VisualizationsOver the past few decades massive amounts of data were produced and their interdisciplinary application relevance has increased
The superstructure is used above the hierarchical model in the form of an individual route map representing a directory with links to the main database
This article examined the demonstration of spherical data on virtual globes and spherical screens
Summary
Over the past few decades massive amounts of data were produced and their interdisciplinary application relevance has increased. This led to the development of new methods and approaches in working with data: collection, storage and analysis. Of all sorts of data, geospatial data were among the first to be presented graphically. They were used for navigation in the form of simple symbols and maps. Flat static maps are not always representative enough. In any 2D map projection, there are distortions of lengths, angles, areas, shapes. Creation and implementation of innovative methods for data visualization are highly important
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