Paper Info
Title
Exploring potential human activities in physical and virtual spaces: a spatio-temporal GIS approach
Abstract
Today, the opportunity for potential human activity has gone beyond physical space to virtual space. Based on a proposed conceptual framework that models the relationships between physical and virtual spaces, this paper presents an attempt to adjust the space-time prism concept of Hägerstrand's time geography to identify potential activity opportunities in virtual space, focusing on the virtual space access channels available in physical space. A three-dimensional (3D) spatio-temporal Geographic Information System (GIS) design has been developed in this research to accommodate the adjusted space-time prism concept to support the representation, visualization, and analysis of potential human activities and interactions in physical and virtual spaces using the prism representation. Following the design, a prototype system has been successfully implemented in a 3D GIS environment. Such a system can provide powerful analytical tools for studies related to potential human activities and applications such as location-based services (LBS) and accessibility analysis in the information age.
Year
DOI
Venue
2008
10.1080/13658810701427569
International Journal of Geographical Information Science
Keywords
Field
DocType
prism representation,potential activity opportunity,virtual space access channel,virtual space,gis environment,space-time prism concept,potential human activity,accessibility analysis,spatio-temporal gis approach,adjusted space-time prism concept,physical space,geographic information system,location based service,conceptual framework,three dimensional,information age,space time,time geography
Geographic information system,Computer science,Human–computer interaction,Artificial intelligence,Information Age,Simulation,Visualization,Communication channel,Time geography,Physical space,Conceptual framework,Virtual space,Machine learning
Journal
Volume
Issue
ISSN
22
4
1365-8816
Citations 
PageRank 
References 
27
1.45
8
Authors
2
Name
Order
Citations
PageRank
Hongbo Yu1271.45
Shih-Lung Shaw234123.87