Knowledge Resource Center for Ecological Environment in Arid Area
Digital deserts on the ground and from space An experimental spatial analysis combining social network and earth observation data in megacity Mumbai | |
Klotz, Martin; Wurm, Michael; Zhu, Xiaoxiang; Taubenboeck, Hannes | |
通讯作者 | Klotz, Martin |
会议名称 | Joint Urban Remote Sensing Event (JURSE) |
会议日期 | MAR 06-08, 2017 |
会议地点 | Dubai, U ARAB EMIRATES |
英文摘要 | Slums are among the most visible manifestation of urban poverty. In this vein, earth observation (EO) has been widely accepted as a tool to approximate associated socioeconomic disparities at the city level. In this work, we explore the potential of a novel data source - location-based social networks - in conjunction with EO-based slum maps. Applying meaningful location quotients for spatial clustering of digital hot and cold spots in an experimental setting, we find that such data can add generalized spatial knowledge to space-based methods via the designation of less digitally-oriented population groups. Conversely, slums derived from remote sensing show substantial quantitative correspondence with clustering results, and thus, even enable to reflect underlying intra-urban socioeconomic characteristics. |
来源出版物 | 2017 JOINT URBAN REMOTE SENSING EVENT (JURSE) |
ISSN | 2334-0932 |
出版年 | 2017 |
EISBN | 978-1-5090-5808-2 |
出版者 | IEEE |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | Germany |
收录类别 | CPCI-S |
WOS记录号 | WOS:000406006100032 |
WOS关键词 | TWITTER ; SLUMS |
WOS类目 | Remote Sensing |
WOS研究方向 | Remote Sensing |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/306820 |
作者单位 | German Aerosp Ctr DLR, Earth Observat Ctr, Oberpfaffenhofen, Germany |
推荐引用方式 GB/T 7714 | Klotz, Martin,Wurm, Michael,Zhu, Xiaoxiang,et al. Digital deserts on the ground and from space An experimental spatial analysis combining social network and earth observation data in megacity Mumbai[C]:IEEE,2017. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。