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从对地观测到对人观测——浅析社会地理计算
引用本文:李德仁,呙维,常晓猛,李熙.从对地观测到对人观测——浅析社会地理计算[J].地理学报(英文版),2020,30(2):233-250.
作者姓名:李德仁  呙维  常晓猛  李熙
作者单位:State Key Laboratory of Information Engineering in Surveying;Collaborative Innovation Center of Geospatial Technology;Shenzhen Key Laboratory of Spatial Smart Sensing and Services
基金项目:LIESMARS Special Research Funding
摘    要:It is possible to obtain vast amounts of spatiotemporal data related to human activities to support the study of human behavior and social evolution.In this context,geography,with the human-nature relationship as its core,is undergoing a transition from strictly earth observations to the observation of human activities.Geocomputation for social science is one manifestation thereof.Geocomputation for social science is an interdisciplinary approach combining remote sensing techniques,social science,and big data computation.Driven by the availability of spatially and temporally expansive big data,geocomputation for social science uses spatiotemporal statistical analyses to detect and analyze the interactions between human behavior,the natural environment,and social activities;Remote sensing(RS)observations are used as primary data.Geocomputation for social science can be used to investigate major social issues and to assess the impact of major natural and societal events,and will surely be an area of focused development in geography in the near future.We briefly review the background of geocomputation in the social sciences,discuss its definition and disciplinary characteristics,and highlight the main research foci.Several key technologies and applications are also illustrated with relevant case studies of the Syrian Civil War,typhoon transits,and traffic patterns.

关 键 词:geocomputation  for  social  science  nighttime  light  remote  sensing  social  network  traffic  patterns
收稿时间:2018-12-16

From earth observation to human observation: Geocomputation for social science
Li,Deren,Guo,Wei,Chang,Xiaomeng,Li,Xi.From earth observation to human observation: Geocomputation for social science[J].Journal of Geographical Sciences,2020,30(2):233-250.
Authors:Li  Deren  Guo  Wei  Chang  Xiaomeng  Li  Xi
Institution:1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China2. Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China3. Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China
Abstract:Journal of Geographical Sciences - It is possible to obtain vast amounts of spatiotemporal data related to human activities to support the study of human behavior and social evolution. In this...
Keywords:geocomputation for social science  nighttime light remote sensing  social network  traffic patterns
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