Metro-Wordle:An Interactive Visualization for Urban Text Distributions Based on Wordle

查看全文 作　　者：Chenlu [1]Li;Xiaoju [1]Dong;Xiaoru [2]Yuan

机构地区：[1]Department of Computer Science and Engineering,Shanghai Jiao Tong University,800 Dongchuan Road,Shanghai,P.R.China,200240;[2]Key Laboratory of Machine Perception(Ministry of Education),and School ofEECS,Peking University,Beijing,P.R.China,100871

出　　处：《Visual Informatics》索引2018年第2卷第1期,共10页

基　　金：This work is supported by National Key Research and Development Program of China(Grant No.2017YFB0701900,2016QY02D0304);National Nature Science Foundation of China(Grant No.61100053,61572318,61772336,61672055)。 摘　　要：With the development of cities and the explosion of infonnation,vast amounts of geo-tagged textural data about Points of Interests(POIs)have been generated.Extracting useful information and discovering text spatial distributions from the data are challenging and meaningful.Also,the huge numbers of POIs in modem cities make it important to have efficient approaches to retrieve and choose a destination.This paper provides a visual design combing metro map and wordles to meet the needs.In this visualization,metro lines serve as the divider lines splitting the city into several subareas and the boundaries to constrain wordles within each subarea.The wordles are generated from keywords extracted from the text about POIs(including reviews,descriptions,etc.)and embedded into the subareas based on their geographical locations.By generating intuitive results and providing an interactive visualization to support exploring text distribution patterns,our strategy can guide the users to explore urban spatial characteristics and retrieve a location efficiently.Finally,we implement a visual analysis of the restaurants data in Shanghai,China as a case study to evaluate our strategy. 关键词：Text visualization Location retrieval Urban data Metro map Word cloud

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Metro-Wordle:An Interactive Visualization for Urban Text Distributions Based on Wordle

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