Abstract
This chapter describes design concepts for a visualization environment for geographic metadata. It discusses the context of metadata visualization along with the multi-variate visualization methods and their application in a working prototype. Metadata has a prominent role when acquiring geographic data for solving spatial problems. Users need metadata only occasionally but when they do, they should be able to use metadata to decide the efficiency of the available datasets to meet the needs of the intended use. This decision can be supported by interactive exploration of metadata in such a way that different characteristics of datasets can be studied simultaneously. Multi-variate visualization techniques, such as the parallel coordinates plot, the scatter plot matrix, star plots, and Chernoff faces, convey different aspects of the metadata. A working prototype of a visualization environment for metadata is also drafted that combines the multi-variate visualization methods with a map of the region of interest and browses graphics and textual metadata in multiple linked views.
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