Map-Based Visualization of 2D/3D Spatial Data via Stylization and Tuning of Information Emphasis
This addresses the challenge for users in geographical information search by reducing visual clutter, though it appears incremental in visualization techniques.
The paper tackled the problem of visual complexity in map-based visualization of heterogeneous spatial data by proposing a novel model that uses stylized shapes and interactive filtering to enhance visibility and user focus, with user tests indicating positive efficacy.
In Geographical Information search, map visualization can challenge the user because results can consist of a large set of heterogeneous items, increasing visual complexity. We propose a novel visualization model to address this issue. Our model represents results as markers, or as geometric objects, on 2D/3D layers, using stylized and highly colored shapes to enhance their visibility. Moreover, the model supports interactive information filtering in the map by enabling the user to focus on different data categories, using transparency sliders to tune the opacity, and thus the emphasis, of the corresponding data items. A test with users provided positive results concerning the efficacy of the model.