Spatial synthesis : computational social science and humanities
著者
書誌事項
Spatial synthesis : computational social science and humanities
(Human dynamics in smart cities / series editors, Shih-Lung Shaw, Daniel Sui)
Springer, c2020
大学図書館所蔵 全1件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references
内容説明・目次
内容説明
This book describes how powerful computing technology, emerging big and open data sources, and theoretical perspectives on spatial synthesis have revolutionized the way in which we investigate social sciences and humanities. It summarizes the principles and applications of human-centered computing and spatial social science and humanities research, thereby providing fundamental information that will help shape future research. The book illustrates how big spatiotemporal socioeconomic data facilitate the modelling of individuals' economic behavior in space and time and how the outcomes of such models can reveal information about economic trends across spatial scales. It describes how spatial social science and humanities research has shifted from a data-scarce to a data-rich environment. The chapters also describe how a powerful analytical framework for identifying space-time research gaps and frontiers is fundamental to comparative study of spatiotemporal phenomena, and how research topics have evolved from structure and function to dynamic and predictive. As such this book provides an interesting read for researchers, students and all those interested in computational and spatial social sciences and humanities.
目次
1: Xinyue Ye and Hui Lin: Research Agenda for Spatial Synthesis: Computational Social Science and Humanities
2: Di Hu: The China Family Tree Geographic Information System
3: Ping Zhang: GIS for Chinese History Research
4: Wei Pan: Digital Historical Yellow River
5: Yongming Xu: Visualizing Classic Chinese Literature
6: Hongwei Xu: Quantifying Spatial Variation in Aggregate Cultural Tolerance
7: Anrong Dang: Conservation of Cave-dwelling Village using Cultural Landscape Gene Theory
8: Jisheng Shi: Digitalized Enka-style Taipei
9: Tiyan Shen: Research progress on Spatial Demography
10: Haoran Yang: Complex network theory on high-speed transportation systems
11: Qisheng Pan: Economic Impact Analysis for an Energy Efficient Home Improvement Program
12: Jinkai Li: Exploring the dynamics of Carbon emission in China via spatial-temporal analysis
13: Renzhou Gui: Spatial Visualization and Analysis of the Development of High-paid Enterprises in the Yangtze River Delta
14: Zhipeng Gui: High performance spatiotemporal visual analytics technologies and its applications in big socioeconomic data analysis
15: Jianglong Chen: Demystifying the inequality in urbanization in China through the lens of land use
16: Kun Qin: Analyzing Spatial Patterns of Intergenerational Education Mobility in China
17: Xining Yang: Can Social Media Rescue Child Beggars?
18: Bo Zhao: Spoofing in Geography
19: Bin Jiang: A Complex-Network Perspective on Alexander's Wholeness
20: Suhong Zhou: Spatial-temporal Behavior Analysis in Urban China
21: Jun Gao: Studies on tourists' city space images
22: Guoqiang Shen: Accessibility of Residential Houses to Community Facilities
23: Wei Tu: Uncovering Online Sharing Vehicle Mobility Patterns from Massive GPS Trajectories
24: Sulei Zheng: Application of Eye Tracking Technology in Humanities, Social Sciences and Geospatial Cognition
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