Lessons from big data - what can Pedometrics learn


Jianghao Wang (1985) is an assistant professor in the State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences & Natural Resources Research, Chinese Academy of Sciences (CAS). He has a BSc from Hohai University, China and received a PhD in GIScience from CAS. His research interests are in spatial statistics, spatio-temporal big data mining, and urban studies. Dr. Wang is the co-founder of Beijing City Lab (www.beijingcitylab.org), an open research network for quantitative urban studies. He has published over thirty peer reviewed journal articles. His most recent research focus on modelling human behaviors and understanding urban development through the analytical lens of emerging geospatial big data. He believes that big data paradigms and approaches will be valuable for soil science and pedometrics.