Querying GIS with Animated Spatial Sketches Presented by Group 4 Querying GIS with Animated Spatial Sketches, Volker Haarslev; Michael Wessel In: Proceedings of the 13th IEEE Symposium on Visual Languages 1997, Sept , Capri, Italy, IEEE Press 1997.

Overview A visual query system VISCO (Vivid Spatial Constellations) for spatial information system is introduced in this paper. A visual query system VISCO (Vivid Spatial Constellations) for spatial information system is introduced in this paper. VISCO is domain specific language for spatial information systems or databases, typically geographical information systems (GIS). VISCO is domain specific language for spatial information systems or databases, typically geographical information systems (GIS). It is a sketch-based query language with the support of animation to define a approximate spatial constellations of objects. It is a sketch-based query language with the support of animation to define a approximate spatial constellations of objects. A visual query system VISCO (Vivid Spatial Constellations) for spatial information system is introduced in this paper. A visual query system VISCO (Vivid Spatial Constellations) for spatial information system is introduced in this paper. VISCO is domain specific language for spatial information systems or databases, typically geographical information systems (GIS). VISCO is domain specific language for spatial information systems or databases, typically geographical information systems (GIS). It is a sketch-based query language with the support of animation to define a approximate spatial constellations of objects. It is a sketch-based query language with the support of animation to define a approximate spatial constellations of objects. VISCO uses naive physics metaphor to provide a easy-to-use visual language for users. VISCO provides a way to make query to the Digital Vector Map visually by sketching.

Example Search for three buildings aligned in parallel. Search for three buildings aligned in parallel.

Evaluation VISCO has strong metaphor based on naive physical properties of objects and provides high closeness of mapping to GIS. VISCO has strong metaphor based on naive physical properties of objects and provides high closeness of mapping to GIS. Very good visibility and low hidden dependencies. The whole query can be represented by a single sketch sheet (WYSIWYG). Very good visibility and low hidden dependencies. The whole query can be represented by a single sketch sheet (WYSIWYG). Good progressive evaluation: users can refine their query after seeing the result. On the other hand, it is highly unlikely to get the right result at the first place on a very large GIS. It is easy to make mistake, more like a try and error game. Good progressive evaluation: users can refine their query after seeing the result. On the other hand, it is highly unlikely to get the right result at the first place on a very large GIS. It is easy to make mistake, more like a try and error game. It has terse notation, but with diffuse meaning for the combination of notations. Thus, experience is needed to achieve consistence query result. It has terse notation, but with diffuse meaning for the combination of notations. Thus, experience is needed to achieve consistence query result. Very low viscosity, users can make changes of their query easily by modify the sketch in the graphical query editor. Very low viscosity, users can make changes of their query easily by modify the sketch in the graphical query editor. VISCO has strong metaphor based on naive physical properties of objects and provides high closeness of mapping to GIS. VISCO has strong metaphor based on naive physical properties of objects and provides high closeness of mapping to GIS. Very good visibility and low hidden dependencies. The whole query can be represented by a single sketch sheet (WYSIWYG). Very good visibility and low hidden dependencies. The whole query can be represented by a single sketch sheet (WYSIWYG). Good progressive evaluation: users can refine their query after seeing the result. On the other hand, it is highly unlikely to get the right result at the first place on a very large GIS. It is easy to make mistake, more like a try and error game. Good progressive evaluation: users can refine their query after seeing the result. On the other hand, it is highly unlikely to get the right result at the first place on a very large GIS. It is easy to make mistake, more like a try and error game. It has terse notation, but with diffuse meaning for the combination of notations. Thus, experience is needed to achieve consistence query result. It has terse notation, but with diffuse meaning for the combination of notations. Thus, experience is needed to achieve consistence query result. Very low viscosity, users can make changes of their query easily by modify the sketch in the graphical query editor. Very low viscosity, users can make changes of their query easily by modify the sketch in the graphical query editor.