Enhanced Star Glyphs for Multiple-Source Data Analysis

Abstract

The analysis of large sums of data can be extremely difficult to perform if the data is not presented graphically. As a result, many graphing techniques have been developed, such as scatter plots, histograms. Generally, the main purpose of graphically displaying data is to do one of two things: First, to find the general average of where most of the data lies. Second, to find the outliers, the data points that are most distant from the others. Our visualization will attempt to find both by using a multitude of common graphing techniques to expand upon the traditional star glyph and create a new way of graphing data. These techniques include clustering, using color as identifiers, and 3D graphing capabilities to present more data that would not be possible of being shown in a two dimensional environment. We apply our techniques to compare several air traffic trajectory predictors currently being analyzed by the U.S. Federal Aviation Administration.

Overview and flight-by-flight analysis of trajectory prediction systems using a 2D Galaxy Visualization

“…While TrajGalaxyViz is latest application currently in use by the FAA, SEGV is continuing research on a three dimensional extension of the galaxy plot used by TrajGalaxyViz, as detailed in a recent publication [6].…”

“…This usually comes in the form of regression testing [6], i.e. comparing a new incarnation of an existing trajectory predictor to ensure that each version is better than the last, or analyzing two different trajectory predictors.…”

Visualization properties for data quality visual assessment: An exploratory case study

“…al. 49 which considered shapes (icons) suitable for the first two variants of atypical tuples-section ''Study unit-atypical tuple. ''…”

Uso de propriedades visuais-interativas na avaliação da qualidade de dados

“…Esses resultados corroboram os pontos fortes e fracos revelados por trabalhos anteriores em relação a tonalidade [Silva et al, 2011] e a treliça [Kehrer et al, 2013;Unwin et al, 2006]. A propriedade saturação/luminosidade dificultou a interpretação de valores absolutos ou relações numéricas a partir do mapa de referência tonalidade-magnitude, corroborando [Bertin, 1983] [Rusu et al, 2009; Ward e Theroux, 1997] que apontaram osícones como adequados a detecção da 1 a variante de tuplas atípicas.…”