VisualEyes is a web-based authoring tool developed at the University of Virginia to weave images, maps, charts, video and data into highly interactive and compelling dynamic visualizations, and to provide seamless access to other web applications such as Google Earth. VisualEyes enables users to present selected primary source materials and research findings while encouraging active inquiry and hands-on learning among general and targeted audiences. It communicates through the use of dynamic displays - or “visualizations” - that organize and present meaningful information in both traditional and multimedia formats, such as audio-video, animation, charts, maps, data, and interactive timelines.
Users can view preset collections of events as well as construct their own views of the events based on selected criteria. The effective use of the visualizations can reveal and illuminate relationships between multiple kinds of information across time and space far more effectively than words alone.
Anyone at UVa who wants to create an interactive visualization of his or her research, project or presentation.
Access to VisualEyes begins with a consultation: contact.
VisualEyes projects have a wide variety of applications. Some are simple and some are quite in depth having taken months to create with a team of researchers. Below are a few examples of VisualEyes in action:
An excellent guide to VisualEyes in PDF (980kb) can be found on the developers website atThis will provide you with a good technical background to the tutorial here on the UVa Knowledge Base.
In VisualEyes, using GLUE items is the heart of making interactive visualizations. This is the most difficult concept in VisualEyes to understand, but it is simple in principle. GLUE is an acronym, the General Language to Unite Events with two primary functions: To cause resources, such as images, paths, and charts, to show up on the screen, automatically or on command and to connect the data resources to data consumers, such as through display tables, popup windows, charts, and data-driven maps, using small scripts.
If you are interested in learning more, you can download thefrom the VisualEyes website for the most recent version.