Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering

Spatial-Temporal Data Model on Emergency : A Review

Authors
Jianhong Pan, Qin Lin, Chenjie Cao
Corresponding Author
Jianhong Pan
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.601How to use a DOI?
Keywords
Spatial-Temporal Data Model, Emergency, Data Model Classification
Abstract
Based on the integration of space and time, TGIS system is the most important cornerstone for emergency rescue, while the spatial-temporal data model, in turn, is the vital foundation of TGIS. In recent years, various kinds of spatial-temporal data model have been developed. Consequently, this paper is trying to launch a research on the classification of these models and try to propose a discussion of models, including simple models, Space-time composites, models based on object and feature, and models based on object and feature. Meantime, the adaptability of the four types of models is also discussed in the paper, which shall provide reference for emergency space-time sequence and spatial-temporal data mining.
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Proceedings
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccsee.2013.601How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jianhong Pan
AU  - Qin Lin
AU  - Chenjie Cao
PY  - 2013/03
DA  - 2013/03
TI  - Spatial-Temporal Data Model on Emergency : A Review
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.601
DO  - https://doi.org/10.2991/iccsee.2013.601
ID  - Pan2013/03
ER  -