Visual analytic for origen-destination pattern identification

• Grant number: 22/13945-2
• Support Opportunities: Scholarships abroad - Research Internship - Doctorate (Direct)
• Start date: April 01, 2023
• End date: January 31, 2024
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Luis Gustavo Nonato
• Grantee: Karelia Alexandra Vilca Salinas
• Supervisor: Jean-Daniel Fekete
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Institution abroad: Institut National de Recherche en Informatique et en Automatique (INRIA Saclay), France
• Associated to the scholarship: 20/07012-8 - Visual analytics for crime analysis, BP.DD

Abstract

Analyzing origin-destination flows is an important problem that has been extensively investigated in several scientific fields, in particular by the visualization community. The problem becomes especially challenging when involving massive data, demanding mechanisms such as data aggregation and interactive filtering to make the exploratory process doable. However, data aggregation tends to smooth out certain patterns while deciding which pieces of data should be filtered is not straightforward. In this work, we propose to develop a visual analytic tool designed to explore origin and destination data. Each Origin-Destination (OD) flow is going to be represented in a visualization that preserves the neighborhood, that is, that reveals important spatial phenomena. Additionally, the visual analysis must deal with high-dimensional data, since each route may have additional features associated to it. (AU)