Inhaltszusammenfassung

GeoVisual Analytics often uses a wide range of visualization techniques in combination with human interactions. However, in order to improve urban planning decisions and expand the knowledge base about spatio-temporal correlations in cities, we identify high and sometimes difficult-to-overcome data and visualization complexity. Therefore, users need targeted support to reduce this complexity and understand complex multidimensional data. This paper proposes an interactive 3D visualization appr...GeoVisual Analytics often uses a wide range of visualization techniques in combination with human interactions. However, in order to improve urban planning decisions and expand the knowledge base about spatio-temporal correlations in cities, we identify high and sometimes difficult-to-overcome data and visualization complexity. Therefore, users need targeted support to reduce this complexity and understand complex multidimensional data. This paper proposes an interactive 3D visualization approach for analyzing spatio-temporal correlations. Effective visual explanations in user-oriented guidance with storytelling elements support this technique. We adapt the approach of flow maps to visualize both resulting correlations and the underlying density of possible destinations from an existing geoanalytical process. Our interactive step-by-step guidance with four narratives aims to create a balance between the author and the user. We evaluated our prototype with various domain experts. The evaluation confirms our approach and improves users' understanding of data and spatio-temporal correlations in urban areas.» weiterlesen» einklappen

Autoren

Klassifikation

DFG Fachgebiet:
Geographie

DDC Sachgruppe:
Informatik