Abstract
Airspace domain may be represented by a time-space consisting of a three-dimensional Cartesian coordinate system and time as the fourth dimension. A coordinate system provides a scheme for locating points given its coordinates and vice versa. The choice of coordinate system is important, as it transforms data to geometric representation. Visualization of the three and more dimensional data on the two-dimensional drawing - computer monitor is usually done by projection, which often can restrict the amount of information presented at a time. Using the parallel coordinate system is one of possibilities to present multidimensional data. The aim of this article is to describe basics of parallel coordinate system and to investigate lines and their characteristics in time-space.
Highlights
During the peak air travel times in the United States, there are about 5,000 airplanes in the sky every hour
Visualization of the three and more dimensional data on the two-dimensional drawing - computer monitor is only possible by projection, which often can restrict the amount of information presented at a time
The aim of this paper was to give the basic information on parallel coordinates and possibility of their using in air traffic control
Summary
During the peak air travel times in the United States, there are about 5,000 airplanes in the sky every hour. This translates to approximately 50,000 aircraft operating every day. Using the parallel coordinates represents one of options to visualize the multidimensional data. In the parallel 4 coordinate plot, each dimension (variable) corresponds to an axis, and the 4 axes are organized as uniformly spaced vertical lines. The parallel coordinates methodology was used when the new air traffic control system in United States was formed around 1985 - US patent # 4,823,272, p. Using of parallel coordinates for visualization of the high-dimensional data set is shown in [4,5,6]. The parallel coordinates coupled with statistical analysis can be used for more effective knowledge discovery and confirmation in complex, environmental data sets [11]
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Communications - Scientific letters of the University of Zilina
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
