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卫健学术沙龙:Tracking Resources For Primary Health Care
"AI For Good" Isn't Good Enough: A Call for Human-Centered AI
【图书馆系列讲座】中外文电子图书数据库检索与利用
【图书馆系列讲座】Web of Science核心合集数据库检索与利用
报告题目:
Revisiting Hägerstrand’s Time Geography for ExploringHuman Activities and Interactions: A Space-Time GIS Approach
 报告人:
Prof. Shih-Lung Shaw
Department of Geography / University of U Tennessee
报告时间:
2006-05-19 09:00
报告地点:
清华大学建筑馆一楼 王泽生报告厅
主办单位:
清华大学建筑学院,清华大学环境工程系
  简介:
This presentation first extends the space-time concepts of Hägerstrand’s time geography to include both physical and virtual activities in a space-time context. Based on the extended time-geographic framework, a spatio-temporal GIS implementation is designed and developed to support exploratory analysis of spatio-temporal patterns of human interactions in physical and virtual spaces. Using time as a linear referencing system, a temporal dynamic segmentation method is capable of dynamically locating physical and virtual activities on space-time paths. This GIS implementation supports analysis of four different types of spatio-temporal interaction patterns (i.e., co-existence, co-location in space, co-location in time, and no co-location in either space or time). The prototype system is implemented as a three-dimensional GIS (i.e., 2-D space + 1-D time) in ArcGIS. It demonstrates the feasibility and potential of applying spatio-temporal GIS concepts to extend Hagerstrand’s time-geographic framework for the representation and analysis of human interactions in both physical and virtual spaces. This spatio-temporal GIS implementation also provides a useful analysis and visualization environment for many other applications, such as analyzing dynamic traffic congestion patterns for intelligent transportation systems (ITS), tracking individual activities for location-based services (LBS) or homeland security purposes, modeling the spread of infectious diseases, among others
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