Chapter 4
Methods of Social Sensing for Urban Studies
Yu Liu,
Song Gao,
Yihong Yuan,
Fan Zhang,
Chaogui Kang,
Yuhao Kang,
Keli Wang,
Yu Liu
Institute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing, China
Search for more papers by this authorSong Gao
Department of Geography, University of Wisconsin-Madison, Madison, WI, USA
Search for more papers by this authorYihong Yuan
Department of Geography, Texas State University, San Marcos, TX, USA
Search for more papers by this authorFan Zhang
Institute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing, China
Search for more papers by this authorChaogui Kang
Department of Geographic Information Engineering, Wuhan University, Wuhan, China
Search for more papers by this authorYuhao Kang
Department of Geography, University of Wisconsin-Madison, Madison, WI, USA
Search for more papers by this authorKeli Wang
Institute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing, China
Search for more papers by this authorYu Liu,
Song Gao,
Yihong Yuan,
Fan Zhang,
Chaogui Kang,
Yuhao Kang,
Keli Wang,
Yu Liu
Institute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing, China
Search for more papers by this authorSong Gao
Department of Geography, University of Wisconsin-Madison, Madison, WI, USA
Search for more papers by this authorYihong Yuan
Department of Geography, Texas State University, San Marcos, TX, USA
Search for more papers by this authorFan Zhang
Institute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing, China
Search for more papers by this authorChaogui Kang
Department of Geographic Information Engineering, Wuhan University, Wuhan, China
Search for more papers by this authorYuhao Kang
Department of Geography, University of Wisconsin-Madison, Madison, WI, USA
Search for more papers by this authorKeli Wang
Institute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing, China
Search for more papers by this authorBook Editor(s):Xiaojun Yang,
Xiaojun Yang
Search for more papers by this authorSummary
Analyzing large volumes of big geo-data through social sensing provides new research opportunities in urban studies. Such big geo-data include mobile phone records, social media posts, vehicle trajectories, and street view images. They can be used to extract human behavior patterns and infer the geographical characteristics of cities. This chapter discusses a number of analytical methods for big geo-data in social sensing studies, such as temporal signature analysis, text analysis, and image analysis. These methods can be used for various applications such as estimating urban vibrancy, formalizing place semantics, and modeling intraurban human mobility patterns. We structure the chapter sections from a perspective of first- and second-order properties in spatial statistics .
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