SVIQUEL: A Spacial Visual Query and Exploration Language

Abstract The need to analyze and query spatial data is becoming increasingly important with the advent of applications such as Geographic Information Systems Image Databases and Remote Sensing The focus of our research is to support spatial data analysis by developing a direct manipulation environment to visually query as well as browse spatial data and to review the visual results for trend analysis In this paper we present a visual query language SVIQUELE which allows us to specify the relative spatial position both topology and directionE between objects using direct manipulation This query language builds upon the notion of dynamic query lters and signi cantly extends them to support integrated querying of both topological and directional types of spatial data In order to facilitate continuous querying as required by a direct manipulation environment we designed an integrated neighborhood model for both kinds of spatial relationships topology and directionE Our spatial query palette SVIQUEL allows us to query over any of the continuous sets of neighboring values SVIQUEL is complimented by a Spatial Query Disambiguation diagram SQUADE which gives qualitative visual representations of the quantitative query This increases the utility of the system for spatial browsing of data with no particular query in mind Mapping functions between the quantitative SVIQUEL and the qualitative SQUAD have been developed The resulting tight coupling between SVIQUEL and SQUAD allows the users to work with either qualitative query speci cations or at a quantitative level of detail depending on his particular needs as well as to freely switch between the two while working in a continuous data exploration mod

Direct-Manipulation Spatial Exploration Using SVIQUEL

This paper represents the first effort to apply direct-manipulation (VIS) techniques to spatial data exploration providing mechanisms for visually querying as well as browsing spatial data and for reviewing the visual results for trend discovery. We present a visual query language (SVIQUEL) which allows us to specify the relative spatial position (both topology and direction) between objects using direct manipulation of spatial query filters. The SVIQUEL sliders (S-sliders) are complimented by an Active-Picture-for-Querying (APIQ) providing qualitative visual representations of the quantitative query specified by the S-sliders. This increases the utility of the system for spatial browsing and spatial trend discovery with no particular query in mind. The tight coupling between the quantitative S-sliders and qualitative APIQ allows the users to work either qualitatively or quantitatively depending on his/her particular needs and freely switch between the two while working in a continuous..

Direct-Manipulation Spatial Exploration Using SVIQUEL

This paper represents the first effort to apply direct-manipulation (VIS) techniques to spatial data exploration providing mechanisms for visually querying as well as browsing spatial data and for reviewing the visual results for trend discovery. We present a visual query language (SVIQUEL) which allows us to specify the relative spatial position (both topology and direction) between objects using direct manipulation of spatial query filters. The SVIQUEL sliders (S-sliders) are complimented by an Active-Picture-for-Querying (APIQ) providing qualitative visual representations of the quantitative query specified by the S-sliders. This increases the utility of the system for spatial browsing and spatial trend discovery with no particular query in mind. The tight coupling between the quantitative S-sliders and qualitative APIQ allows the users to work either qualitatively or quantitatively depending on his/her particular needs and freely switch between the two while working in a continuous..

SVIQUEL: A Spatial Visual Query and Exploration Language

. This paper represents the first effort to apply direct-manipulation (VIS) techniques to spatial data exploration providing mechanisms for visually querying as well as browsing spatial data and for reviewing the visual results for trend discovery. We present a visual query language (SVIQUEL) which allows us to specify the relative spatial position (both topology and direction) between objects using direct manipulation of spatial query filters, called S-sliders. The S-sliders for the selection of precise numeric ranges for query dimensions are complimented by Active-Picture-for-Querying (APIQ), a qualitative direct-manipulation query paradigm. SVIQUEL thus supports spatial browsing and spatial trend discovery with no particular query in mind. The tight coupling between the quantitative S-sliders and qualitative APIQ allows the users to work either qualitatively or quantitatively depending on his/her particular needs and freely switch between the two while working in a continuous data e..

SEE: A Spatial Exploration Environment Based on a Direct-Manipulation Paradigm

The need to provide effective tools for analyzing and querying spatial data is becoming increasingly important with the explosion of data in applications such as Geographic Information Systems, Image Databases, CAD and Remote Sensing. The SEE (Spatial Exploration System) is the first effort of applying direct-manipulation visual information seeking (VIS) techniques to spatial data analysis by visually querying as well as browsing spatial data and reviewing the visual results for trend analysis. The SEE system incorporates a visual query language (SVIQUEL) which allows users to specify the relative spatial position (both topology and direction) between objects using direct manipulation. The quantitative SVIQUEL sliders (S-sliders) are complemented by the qualitative Active-Picture-for-Querying (APIQ) which allows the user to specify qualitative relative position queries. APIQ provides qualitative visual representations of the quantitative query specified by the S-sliders. This increases..