{"title":"A web based methodology for Visualizing Time-varying Spatial Information","authors":"D. Kannangara, N. Fernando, D. Dias","doi":"10.1109/ICIINFS.2009.5429860","DOIUrl":null,"url":null,"abstract":"A web enabled visualization methodology is proposed in this work for viewing time varying spatial data. The technique is simple, and hence could be used by non experts of IT or GIS. The user can upload own datasets prepared in a given format with specific fields. The variation of time for data visualization can be adjusted. A web server and centralized GIS engine would process the data and the visualization would be sent to the web client as an animation. Spatial and temporal interpolation is used at the server side. In order to test the methodology, a GIS based Time-varying Spatial Information Visualizer is developed. The methodology is tested with local weather data. It can be used for visualization of demographic data as well. The methodology can be further developed to add forecasting facilities based on user provided data.","PeriodicalId":117199,"journal":{"name":"2009 International Conference on Industrial and Information Systems (ICIIS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Industrial and Information Systems (ICIIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIINFS.2009.5429860","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
A web enabled visualization methodology is proposed in this work for viewing time varying spatial data. The technique is simple, and hence could be used by non experts of IT or GIS. The user can upload own datasets prepared in a given format with specific fields. The variation of time for data visualization can be adjusted. A web server and centralized GIS engine would process the data and the visualization would be sent to the web client as an animation. Spatial and temporal interpolation is used at the server side. In order to test the methodology, a GIS based Time-varying Spatial Information Visualizer is developed. The methodology is tested with local weather data. It can be used for visualization of demographic data as well. The methodology can be further developed to add forecasting facilities based on user provided data.
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