In recent years,large multifaceted spatial,temporal,and spatio-temporal databases have attained significant popularity and importance in the database community.In order to perform preliminary investigation,exploratory...In recent years,large multifaceted spatial,temporal,and spatio-temporal databases have attained significant popularity and importance in the database community.In order to perform preliminary investigation,exploratory visual analysis of such data-sets is highly desirable.To facilitate the convenient and efficient visualization,scientists and practitioners often need to convert the spatial component of the data-set into a more usable format.Though among the various formats available today in spatial data science community,Geographical Markup Language(GML)adheres to its central position and is of our interest in this work.The development of a tool to satisfy the spatial format conversion needs tailored to every user’s needs from scratch is difficult,time-consuming,and requires skills not easy to possess.We developed Auto-ConViz,to solve the issue stated above.It accepts the spatial component in GML format,converts that into shapefile format,and facilitates informative and automated interaction with the data-sets.It supports basic query and geospatial analysis and visualization tasks and offers functionalities such as zooming,panning,and feature selection.Furthermore,our software leverages navigation to classical ArcGIS software interface for users interested in more intensive analysis.AutoConViz serves both the database and geographical information system communities to explore insights of spatiotemporal databases and will help to further geospatial research and development.展开更多
In large spatial,temporal,and spatio-temporal databases,the concept of dimensions–time and space–is central and their efficient processing has always been a great concern.A Geographic Information System(GIS)is widel...In large spatial,temporal,and spatio-temporal databases,the concept of dimensions–time and space–is central and their efficient processing has always been a great concern.A Geographic Information System(GIS)is widely known for its efficient and sophisticated handling of the spatial databases;however,integration of the time domain introduces additional complexities.Considerable research is ongoing in this area.Though numerous approaches have already been proposed in the literature to address the time-related challenges in GIS community,such as the development of temporal GIS data models,this study contributes to these ongoing efforts through extensions to the Parametric Data Model.Parametric database approaches(Parametric Data Model)have been developed to handle dimensional data such as space,time,belief,etc.In this study,the time dimension is of specific interest and we propose the integration of parametric approaches to GIS to absorb the temporal burden.The temporal processing of the data is done using parametric approaches that address the limitation of GIS to support temporal queries and temporal analysis of phenomena.Using the AutoConViz tool,developed for spatio-temporal data modeling and visualization,results can be directly integrated into standard GIS software programs such as ArcGIS and further processed seamlessly along with and in a similar manner to other attributes.展开更多
文摘In recent years,large multifaceted spatial,temporal,and spatio-temporal databases have attained significant popularity and importance in the database community.In order to perform preliminary investigation,exploratory visual analysis of such data-sets is highly desirable.To facilitate the convenient and efficient visualization,scientists and practitioners often need to convert the spatial component of the data-set into a more usable format.Though among the various formats available today in spatial data science community,Geographical Markup Language(GML)adheres to its central position and is of our interest in this work.The development of a tool to satisfy the spatial format conversion needs tailored to every user’s needs from scratch is difficult,time-consuming,and requires skills not easy to possess.We developed Auto-ConViz,to solve the issue stated above.It accepts the spatial component in GML format,converts that into shapefile format,and facilitates informative and automated interaction with the data-sets.It supports basic query and geospatial analysis and visualization tasks and offers functionalities such as zooming,panning,and feature selection.Furthermore,our software leverages navigation to classical ArcGIS software interface for users interested in more intensive analysis.AutoConViz serves both the database and geographical information system communities to explore insights of spatiotemporal databases and will help to further geospatial research and development.
文摘In large spatial,temporal,and spatio-temporal databases,the concept of dimensions–time and space–is central and their efficient processing has always been a great concern.A Geographic Information System(GIS)is widely known for its efficient and sophisticated handling of the spatial databases;however,integration of the time domain introduces additional complexities.Considerable research is ongoing in this area.Though numerous approaches have already been proposed in the literature to address the time-related challenges in GIS community,such as the development of temporal GIS data models,this study contributes to these ongoing efforts through extensions to the Parametric Data Model.Parametric database approaches(Parametric Data Model)have been developed to handle dimensional data such as space,time,belief,etc.In this study,the time dimension is of specific interest and we propose the integration of parametric approaches to GIS to absorb the temporal burden.The temporal processing of the data is done using parametric approaches that address the limitation of GIS to support temporal queries and temporal analysis of phenomena.Using the AutoConViz tool,developed for spatio-temporal data modeling and visualization,results can be directly integrated into standard GIS software programs such as ArcGIS and further processed seamlessly along with and in a similar manner to other attributes.
