Proceedings of the International Conference on Promotion of Information Technology (ICPIT 2016)

The Research on Geographic Cognitive Model and Expressional Model of Cyberspace

Authors
Xiao-Hui Chen, Li Feng, Wei Zhang, Bing-Chuan Jiang, Yu-Ting Liao
Corresponding Author
Xiao-Hui Chen
Available Online August 2016.
DOI
10.2991/icpit-16.2016.19How to use a DOI?
Keywords
cyberspace, cognitive mode, mapping model
Abstract

The issue is aimed at the demand of cognizant Cyberspace, analyzed the spatial and temporal characteristics of Cyberspace. By means of researching the mapping mechanism between cyberspace and geo-space, constructs the theories and geographical cognitive models of Cyberspace. Based on the theory of cartography, builds the mapping model of cyberspace. Through the visualization algorithm based on geo-space, realizes the visualization of cyberspace and provides the basis of theory and technical support of cognizing and analysis Cyberspace.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Promotion of Information Technology (ICPIT 2016)
Series
Advances in Computer Science Research
Publication Date
August 2016
ISBN
10.2991/icpit-16.2016.19
ISSN
2352-538X
DOI
10.2991/icpit-16.2016.19How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiao-Hui Chen
AU  - Li Feng
AU  - Wei Zhang
AU  - Bing-Chuan Jiang
AU  - Yu-Ting Liao
PY  - 2016/08
DA  - 2016/08
TI  - The Research on Geographic Cognitive Model and Expressional Model of Cyberspace
BT  - Proceedings of the International Conference on Promotion of Information Technology (ICPIT 2016)
PB  - Atlantis Press
SP  - 120
EP  - 126
SN  - 2352-538X
UR  - https://doi.org/10.2991/icpit-16.2016.19
DO  - 10.2991/icpit-16.2016.19
ID  - Chen2016/08
ER  -