| 基于社交媒体的城市污染信息探测 |
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| 引用本文： | 相恒茂,付小康,高浠舰,杨浚,王艳东.基于社交媒体的城市污染信息探测[J].测绘与空间地理信息,2017(8). |
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| 作者姓名： | 相恒茂 付小康 高浠舰 杨浚 王艳东 |
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| 作者单位： | 1. 山东省国土测绘院,山东 济南,250102;2. 武汉大学 测绘遥感信息工程国家重点实验室,湖北 武汉,430079 |
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| 基金项目： | 国家自然科学基金项目，测绘地理信息公益性行业科研专项经费资助，高等学校博士学科点专项科研基金资助课题，国家科技支撑计划项目 |
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| 摘 要： | 了解城市污染状况是治理城市污染的首要环节。社交媒体中包含了能够反映人们对周围环境的感受的数据资料,可以帮助人们更直观地了解城市污染现状。本文以新浪微博为例,提出了从社交媒体中获取城市污染相关数据的方案,设计了基于社交媒体的城市污染信息分类法和可视化方法,在实验部分以北京市为例对本方法的结果进行了分析与讨论。
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| 关 键 词： | 社交媒体 污染 探测 新浪微博 |
Urban Pollution Detection Based on Social Media |
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| XIANG Heng-mao,FU Xiao-kang,GAO Xi-jian,YANG Jun,WANG Yan-dong.Urban Pollution Detection Based on Social Media[J].Geomatics & Spatial Information Technology,2017(8). |
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| Authors: | XIANG Heng-mao FU Xiao-kang GAO Xi-jian YANG Jun WANG Yan-dong |
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| Abstract: | Getting information about urban pollution is the first step for urban pollution control.Social media contains data that can reflect people''s feelings about their surrounding environment, which can help people understand the situation of pollution in their city.Taking Sina Weibo as the case study in this paper, we formulated a solution to the collection of relevant urban pollution data from social media.We also proposed methods for urban pollution information classification and visualization based on social media.And then, taking Beijing as the study area,the results of these methods are analyzed and discussed in the experimental part. |
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| Keywords: | social media pollution detection Sina Weibo |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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