Visual exploration to support the identification of relevant attributes in multidimensional time-varying data

• Grant number: 15/12831-0
• Support Opportunities: Scholarships abroad - Research Internship - Doctorate
• Effective date (Start): October 05, 2015
• Effective date (End): September 04, 2016
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Maria Cristina Ferreira de Oliveira
• Grantee: Aurea Rossy Soriano Vargas
• Supervisor: Bernd Hamann
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Research place: University of California, Davis (UC Davis), United States
• Associated to the scholarship: 12/24537-0 - Visualization to support identifying relevant attributes in time-varying multidimensional data, BP.DR

Abstract

This project seeks to apply for a Research Internship Application (BEPE) at the Institute of Data Analysis and Visualization (IDAV) from the University of California, Davis (UC Davis), under the supervision of Professor Bernd Hamann. The current doctoral research addresses the usage of Multidimensional Visualization techniques to support exploratory data analysis tasks related to identifying relevant attributes to understand the behavior of a multivariate phenomenon. It involves an interdisciplinary collaboration with researchers from the Department of Cartography of UNESP at Presidente Prudente, who study the effects of ionospheric scintillation, a phenomenon that affects measurements obtained by Global Navigation Satellite Systems (GNSS). A database is available that records data on this phenomenon, and our hypothesis is that exploratory visualization can be successfully applied to assist experts in identifying the set of variables and corresponding behavior that determine and explain the occurrence of high scintillation indices. Our goal is to develop and validate a visual framework to assist users identifying how different attributes relate to the behavior of this time-varying phenomenon. The solution obtained will hopefully contribute to better understanding the issues involved and be applicable to other problems with similar characteristics. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

SORIANO-VARGAS, AUREA; VANI, BRUNO C.; SHIMABUKURO, MILTON H.; MONICO, JOAO F. G.; OLIVEIRA, MARIA CRISTINA F.; HAMANN, BERND. Visual analytics of time-varying multivariate ionospheric scintillation data. COMPUTERS & GRAPHICS-UK, v. 68, p. 96-107, NOV 2017. (11/22749-8, 15/12831-0, 12/24537-0)

SORIANO-VARGAS, AUREA; HAMANN, BERND; DE OLIVEIRA, MARIA CRISTINA F.. TV-MV Analytics: A visual analytics framework to explore time-varying multivariate data. INFORMATION VISUALIZATION, v. 19, n. 1, JULY 2019. (17/05838-3, 12/24537-0, 15/12831-0)