%0 Report %1 jung99 %A Jung, Volker %C Berkely, CA %D 1999 %I International Computer Science Institute %K query information geography visualization %T MetaViz: Visual Interaction with Geospatial Digital Libraries %U http://www.cs.toronto.edu/~nernst/papers/jung99metaviz.pdf %X Recent initiatives to geospatial digital libraries provide access to a wealth of distributed data, but offer only basic levels of interactivity and user assistance. Consequently, users find it difficult and time-consuming to browse through data collections and locate those data sets that meet their requirements. The MetaViz project addresses two of the major barriers preventing the extensive use of digital libraries: lack of usability and information overload. This research focuses on geospatial data, making it possible to develop effective visualization and interaction methods that are based on familiar spatial metaphors. The visualization methods developed employ three-dimensional techniques, combining several characteristics or dimensions of metadata into single graphical views. As those visualizations are based on map and landscape metaphors, they are easy to understand and provide instant overviews of complex data characteristics. The visualization methods have been integrated into MetaViz, an interactive system for browsing and searching geospatial data. In MetaViz, graphical views of data characteristics can be created and combined dynamically, levels of detail can be adjusted and the data sets found can be previewed and accessed. MetaViz helps users to locate and select appropriate geospatial data from various sources and to combine and use them in an effective way.

@techreport{jung99, abstract = {Recent initiatives to geospatial digital libraries provide access to a wealth of distributed data, but offer only basic levels of interactivity and user assistance. Consequently, users find it difficult and time-consuming to browse through data collections and locate those data sets that meet their requirements. The MetaViz project addresses two of the major barriers preventing the extensive use of digital libraries: lack of usability and information overload. This research focuses on geospatial data, making it possible to develop effective visualization and interaction methods that are based on familiar spatial metaphors. The visualization methods developed employ three-dimensional techniques, combining several characteristics or dimensions of metadata into single graphical views. As those visualizations are based on map and landscape metaphors, they are easy to understand and provide instant overviews of complex data characteristics. The visualization methods have been integrated into MetaViz, an interactive system for browsing and searching geospatial data. In MetaViz, graphical views of data characteristics can be created and combined dynamically, levels of detail can be adjusted and the data sets found can be previewed and accessed. MetaViz helps users to locate and select appropriate geospatial data from various sources and to combine and use them in an effective way.}, added-at = {2006-03-24T16:34:33.000+0100}, address = {Berkely, CA}, author = {Jung, Volker}, biburl = {https://www.bibsonomy.org/bibtex/2754196f984da694d1185b3e25a0ce3f4/neilernst}, citeulike-article-id = {121872}, comment = {-good intro to geospatial data concepts - "The geospatial metadata visualization techniques developed transform result sets of GDL queries into a visual form: so-called result scenes. In this transformation process, a number of mappings from metadata attributes to visual attributes of the result scene are performed. These mappings make sure that metadata attributes can be processed effectively and correctly by the human visual system" - "because it preserves the familiar landscape or map metaphors that make it easy for users to spatially orient themselves in the result scene. The position in the xy plane is also the most effective visual variable to encode quantitative data" - justifies the use of landscape metaphor in this instance - since spatial data is the domain, this is a reasonable choice. What about biology? - Results look really messy, a major issue is occlusion. Glyph plots somewhat better, but not great. Problem: what if the variables searched for are not of the right data type (nominal or ordinal?)}, description = {sdasda}, institution = {Berkeley}, interhash = {cfd8c5f5770303d067a824ce4861180b}, intrahash = {754196f984da694d1185b3e25a0ce3f4}, keywords = {query information geography visualization}, priority = {0}, publisher = {International Computer Science Institute}, timestamp = {2006-03-24T16:34:33.000+0100}, title = {Meta{V}iz: {V}isual {I}nteraction with {G}eospatial {D}igital {L}ibraries}, url = {http://www.cs.toronto.edu/~nernst/papers/jung99metaviz.pdf}, year = 1999 }