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2009 International Joint Conference on Computational Sciences and Optimization
A Raster-Based Marine Data Model with Its Application
Sanya, Hainan, China
April 24-April 26
ISBN: 978-0-7695-3605-7
ASCII Text
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Yanling Hao, Lei Li, Ning Li, "A Raster-Based Marine Data Model with Its Application," Computational Sciences and Optimization, International Joint Conference on, vol. 2, pp. 294-297, 2009 International Joint Conference on Computational Sciences and Optimization, 2009.
 
 
BibTex
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@article{ 10.1109/CSO.2009.212,
author = {Yanling Hao and Lei Li and Ning Li},
title = {A Raster-Based Marine Data Model with Its Application},
journal ={Computational Sciences and Optimization, International Joint Conference on},
volume = {2},
year = {2009},
isbn = {978-0-7695-3605-7},
pages = {294-297},
doi = {http://doi.ieeecomputersociety.org/10.1109/CSO.2009.212},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computational Sciences and Optimization, International Joint Conference on
TI - A Raster-Based Marine Data Model with Its Application
SN - 978-0-7695-3605-7
SP294
EP297
A1 - Yanling Hao,
A1 - Lei Li,
A1 - Ning Li,
PY - 2009
VL - 2
JA - Computational Sciences and Optimization, International Joint Conference on
ER -
 
In this paper, a raster-based spatio-temporal marine data model is designed by analyzing the characteristic and limitations of several typical spatio-temporal data models. It is a multilevel grid data model, and it takes into account space, time and attribute factor adequately. It has the advantages of simplicity and practicability, and it can also well organize and manage the marine data, especially the data in raster formats. Then, the model is applied to the marine database of MEIS developed by HEU. The instance sets a good example for the studies on spatio-temporal marine data models.
Citation:
Yanling Hao, Lei Li, Ning Li, "A Raster-Based Marine Data Model with Its Application," cso, vol. 2, pp.294-297, 2009 International Joint Conference on Computational Sciences and Optimization, 2009
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