测绘学报(英文版) ›› 2022, Vol. 5 ›› Issue (2): 1-6.doi: 10.11947/j.JGGS.2022.0201

• •    下一篇

  

  • 收稿日期:2021-10-11 接受日期:2022-05-08 出版日期:2022-06-20 发布日期:2022-07-22

Spatial Humanities and Geo-computation for Social Sciences:Advances and Applications

Kun QIN1(),Hui LIN2,Yang YUE3,Feng ZHANG4,Jianya GONG1   

  1. 1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
    2. School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China
    3. School of Architecture & Urban Planning, Shenzhen University, Shenzhen 518060, China
    4. School of Earth Sciences, Zhejiang University, Hangzhou 310028, China
  • Received:2021-10-11 Accepted:2022-05-08 Online:2022-06-20 Published:2022-07-22
  • About author:Kun QIN (1972—), male, PhD, professor, main research interests include spatiotemporal big data analysis, spatially humanities and geo-computation for social sciences. E-mail: qink@whu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(42171448)

Abstract:

Humanities and Social Sciences (HSS) are undergoing the transformation of spatialization and quantification. Geo-computation, with geoinformatics (including RS: Remote Sensing; GIS: Geographical Information System; GNSS: Global Navigation Satellite System), provides effective computational and spatialization methods and tools for HSS. Spatial Humanities and Geo-computation for Social Sciences (SH&GSS) is a field coupling geo-computation, and geoinformatics, with HSS. This special issue accepted a set of contributions highlighting recent advances in methodologies and applications of SH&GSS, which are related to sentiment spatial analysis from social media data, emotional change spatial analysis from news data, spatial analysis of social media related to COVID-19, crime spatiotemporal analysis, “double evaluation” for Land Use/Land Cover (LUCC), Specially Protected Natural Areas (SPNA) analysis, editing behavior analysis of Volunteered Geographic Information (VGI), electricity consumption anomaly detection, First and Last Mile Problem (FLMP) of public transport, and spatial interaction network analysis for crude oil trade network. Based on these related researches, we aim to present an overview of SH&GSS, and propose some future research directions for SH&HSS.

Key words: Humanities and Social Sciences(HSS), Spatial Humanities and Geo-computation for Social Sciences(SH&GSS), sentiment spatial analysis, spatial analysis for social media, crime spatiotemporal analysis, editing behavior analysis, spatial interaction network analysis