Visualizing Dynamics of Urban Regions Through a Geo‐Semantic Graph‐Based Method
Abstract
In urban analysis, it is desirable to find regions where a primary socio‐economic activity dominates as a key endeavour. This can be accomplished by aggregating neighbouring locations where similar activities take place. However, people move and their activities change over time. Furthermore, the boundaries of regions are not stationary. Thus, it is challenging to update region divisions and track their evolution. Geo‐textual data embody geographical information and activity descriptions. We obtain changes in regional boundaries by iteratively applying a process to a sequence of latent graphs that are constructed from geo‐textual data. Region characteristics are interpreted by topics learned by the latent Dirichlet allocation model. We also propose a matching algorithm to expose region transformations between different timestamps. Interesting patterns of evolution emerge after clustering the migration trajectories of region centroids. In our visual system, users can explore the evolution of regions through animations and linked snapshots. To facilitate visual comparisons, we represent regions by hexagonal tiling that better construct arbitrary regional shapes. The effectiveness of our method is evaluated on two case studies using real‐world datasets, and a user study shows that our visual analytics system is highly effective in performing studies on such regional maps.
BibTeX
@article {10.1111:cgf.13882,
journal = {Computer Graphics Forum},
title = {{Visualizing Dynamics of Urban Regions Through a Geo‐Semantic Graph‐Based Method}},
author = {Wang, Yunzhe and Baciu, George and Li, Chenhui},
year = {2020},
publisher = {© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd},
ISSN = {1467-8659},
DOI = {10.1111/cgf.13882}
}
journal = {Computer Graphics Forum},
title = {{Visualizing Dynamics of Urban Regions Through a Geo‐Semantic Graph‐Based Method}},
author = {Wang, Yunzhe and Baciu, George and Li, Chenhui},
year = {2020},
publisher = {© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd},
ISSN = {1467-8659},
DOI = {10.1111/cgf.13882}
}
Collections
Related items
Showing items related by title, author, creator and subject.
-
Visualizing for the Non-Visual: Enabling the Visually Impaired to Use Visualization
Choi, Jinho; Jung, Sanghun; Park, Deok Gun; Choo, Jaegul; Elmqvist, Niklas (The Eurographics Association and John Wiley & Sons Ltd., 2019)The majority of visualizations on the web are still stored as raster images, making them inaccessible to visually impaired users. We propose a deep-neural-network-based approach that automatically recognizes key elements ... -
Query by Visual Words: Visual Search for Scatter Plot Visualizations
Shao, Lin; Schleicher, Timo; Schreck, Tobias (The Eurographics Association, 2016)Finding interesting views in large collections of data visualizations, e.g., scatter plots, is challenging. Recently, ranking views based on heuristic quality measures has been proposed. However, quality measures may fail ... -
Steering the Craft: UI Elements and Visualizations for Supporting Progressive Visual Analytics
Badam, Sriram Karthik; Elmqvist, Niklas; Fekete, Jean-Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2017)Progressive visual analytics (PVA) has emerged in recent years to manage the latency of data analysis systems. When analysis is performed progressively, rough estimates of the results are generated quickly and are then ...