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AutoConViz:automating the conversion and visualization of spatio-temporal query results in GIS

AutoConViz:自动化的GIS时空查询结果转换和可视化

作     者:Sugam SHARMA Udoyara Sunday TIM Shashi GADIA 

作者机构:Department of Computer ScienceIowa State UniversityAmesIA 50010USA Department of Agricultural and Bio-systems EngineeringIowa State UniversityAmesIA 50010USA 

出 版 物:《Geo-Spatial Information Science》 (地球空间信息科学学报(英文))

年 卷 期:2012年第15卷第2期

页      面:85-93页

核心收录:

学科分类:0303[法学-社会学] 0709[理学-地质学] 070801[理学-固体地球物理学] 07[理学] 08[工学] 0708[理学-地球物理学] 0705[理学-地理学] 0816[工学-测绘科学与技术] 0813[工学-建筑学] 0833[工学-城乡规划学] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

基  金:Geographic Information System 

主  题:GML shapefile AutoConViz automation visualization GIS 

摘      要:In recent years,large multifaceted spatial,temporal,and spatio-temporal databases have attained significant popularity and importance in the database *** order to perform preliminary investigation,exploratory visual analysis of such data-sets is highly *** facilitate the convenient and efficient visualization,scientists and practitioners often need to convert the spatial component of the data-set into a more usable *** 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 *** 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 *** developed Auto-ConViz,to solve the issue stated *** accepts the spatial component in GML format,converts that into shapefile format,and facilitates informative and automated interaction with the *** supports basic query and geospatial analysis and visualization tasks and offers functionalities such as zooming,panning,and feature ***,our software leverages navigation to classical ArcGIS software interface for users interested in more intensive *** serves both the database and geographical information system communities to explore insights of spatiotemporal databases and will help to further geospatial research and development.

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