{"title":"Location Graphs for Movement Data Modeling, Analytics and Visualization","authors":"C. Barnes","doi":"10.1145/3356392.3365223","DOIUrl":null,"url":null,"abstract":"Modeling movement through an environment can be a complicated task given the variations of data scale, quality, temporal sampling, and fidelity of location information. We present recent work in modeling location information both spatially, temporally and semantically using a new product called Location Graph.","PeriodicalId":415844,"journal":{"name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Computing with Multifaceted Movement Data","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on Computing with Multifaceted Movement Data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3356392.3365223","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Modeling movement through an environment can be a complicated task given the variations of data scale, quality, temporal sampling, and fidelity of location information. We present recent work in modeling location information both spatially, temporally and semantically using a new product called Location Graph.
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