Geovisualization and synergies from InfoVis and Visual Analytics

Abstract

Geovisualization (GeoViz) is an intrinsically complex process. The analyst needs to look at data from various perspectives and at various scales, from seeing to attending to (Andrienko and Andrienko 2006). The analyst is also supposed to see in relation, i.e. make numerous comparisons. This inherent complexity is multiplied by complexity of data that is explored and analyzed. The complex, multivariate data structure and heterogeneous components of most contemporary datasets necessitate a combined use of multiple techniques and approaches. There is no single visualization method capable to show the whole. The analyst has to decompose this whole into views, examine these views and then try to synthesize whole picture from partial views. Also, because of large data volumes, we must use methods capable of simultaneously providing an overall view and exposing various particulars. Looking for particulars requires therefore different techniques than seeing whole. Some existing visualization tools such as GeoVista and CommonGIS have successfully demonstrated advantage of multiple-linked views and use of information visualization (InfoViz) methods such as Parallel Coordinates and Heat maps to explore spatial multivariate data. GeoViz tools support interactive visual representation and analysis of spatio-temporal data, enabling analysts to explore geospatial and multivariate data from multiple perspectives. GeoViz is differentiated from GIS because it focuses on exploratory visual analysis rather than pre-defined mapping. GeoViz research focuses particular attention on integrating cartographic approaches with interactive visual representations from information visualization, analytical data dissemination and visual analytics.