4 papers
Visually Comparing Graph Vertex Ordering Algorithms through Geometrical and Topological Approaches
Karelia Salinas, Victor Barella, Thales Viera +1
Graph vertex ordering is widely employed in spatial data analysis, especially in urban analytics, where street graphs serve as spatial discretization for modeling and simulation. I…
ORDENA: ORigin-DEstiNAtion data exploration
Karelia Salinas, Victor Barella, André Luiz Cunha +3
Analyzing origin-destination flows is an important problem that has been extensively investigated in several scientific fields, particularly by the visualization community. The pro…
Enhancing Urban Data Exploration: Layer Toggling and Visibility-Preserving Lenses for Multi-Attribute Spatial Analysis
Karelia Salinas, Luis Gustavo Nonato, Jean-Daniel Fekete +1
We propose two novel interaction techniques for visualization-assisted exploration of urban data: Layer Toggling and Visibility-Preserving Lenses. Layer Toggling mitigates visual o…
Exploring Urban Factors with Autoencoders: Relationship Between Static and Dynamic Features
Ximena Pocco, Waqar Hassan, Karelia Salinas +2
Urban analytics utilizes extensive datasets with diverse urban information to simulate, predict trends, and uncover complex patterns within cities. While these data enables advance…