GeoVIS 2015: Rendering and Cognition with Images and Hybrid Visualizations
With the ubiquity of high resolution sensors, today we face the challenges of dealing with a wide range of heterogeneous data types (e.g., images, 3D models, LIDAR points, raw data, etc.). This data- and information-rich era encourages visual analytics approaches and requires new ideas for visualization design. Currently we witness enthusiasm for images and multiple-linked views in which data can be “co-visualized” for a given purpose (which we call hybrid visualizations). However how effective and efficient images and hybrid visualizations are for decision-making processes is yet to be established.
GeoVIS 2015: Rendering and Cognition with Images and Hybrid Visualizations
With the ubiquity of high resolution sensors, today we face the challenges of dealing with a wide range of heterogeneous data types (e.g., images, 3D models, LIDAR points, raw data, etc.). This data- and information-rich era encourages visual analytics approaches and requires new ideas for visualization design. Currently we witness enthusiasm for images and multiple-linked views in which data can be “co-visualized” for a given purpose (which we call hybrid visualizations). However how effective and efficient images and hybrid visualizations are for decision-making processes is yet to be established.
