TY - GEN
T1 - Visualization of oceanographic applications using a common data model
AU - Li, Jie
AU - Meng, Zhao Peng
AU - Zhang, Kang
PY - 2014
Y1 - 2014
N2 - Due to the rapid development of ocean observation technology, the volume of ocean data is increasing exponent ially. To better utilize these data, more and more computational methods have been applied to exploring, sharing, and processing such data. Although great efforts have been made, there is an urgent need for a single platform containing a set of visualization components for every kind of ocean data. This paper presents a distributed, scalable and service-oriented visualization platform. The development of the platform is based on a common data model, by which ocean data with differents patial and temporal distribution can be organized and accessed in a uniform fashion, which sets a solid foundation for designing and implementing all kinds of visualization comp onents and facilit ates collaborative oceanographic research. The platform is run in China Ocean Observation System (COOS), and enables easy and convenient development of all kinds of visualization components for professionals and the general public and greatly advances ocean data sharing and scientific research collaboration.
AB - Due to the rapid development of ocean observation technology, the volume of ocean data is increasing exponent ially. To better utilize these data, more and more computational methods have been applied to exploring, sharing, and processing such data. Although great efforts have been made, there is an urgent need for a single platform containing a set of visualization components for every kind of ocean data. This paper presents a distributed, scalable and service-oriented visualization platform. The development of the platform is based on a common data model, by which ocean data with differents patial and temporal distribution can be organized and accessed in a uniform fashion, which sets a solid foundation for designing and implementing all kinds of visualization comp onents and facilit ates collaborative oceanographic research. The platform is run in China Ocean Observation System (COOS), and enables easy and convenient development of all kinds of visualization components for professionals and the general public and greatly advances ocean data sharing and scientific research collaboration.
KW - Common data model
KW - GIS
KW - Information visualization
KW - NetCDF
KW - Ocean and oceanograp hy
UR - http://www.scopus.com/inward/record.url?scp=84905654031&partnerID=8YFLogxK
U2 - 10.1145/2554850.2554859
DO - 10.1145/2554850.2554859
M3 - Conference Paper published in a book
AN - SCOPUS:84905654031
SN - 9781450324694
T3 - Proceedings of the ACM Symposium on Applied Computing
SP - 933
EP - 938
BT - Proceedings of the 29th Annual ACM Symposium on Applied Computing, SAC 2014
PB - Association for Computing Machinery
T2 - 29th Annual ACM Symposium on Applied Computing, SAC 2014
Y2 - 24 March 2014 through 28 March 2014
ER -