TY - GEN
T1 - Development of the Red Sea Biogeographic Information System
AU - Machda, Fahmi
AU - Moreno Pérez, Norú Ichim
AU - Utomo, Chandra Prasetyo
AU - Voolstra, Christian R.
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2010/5
Y1 - 2010/5
N2 - Marine studies, surveys, and observational activities are continuously generating new and diverse data, which are hard to keep track of with tables and spreadsheets. Integrated data and information management systems that collect, analyze, and combine data are needed in order to provide a comprehensive picture of marine environments under study. For these reasons, we started to develop the Red Sea Biogeographic Information System (RBIS) at King Abdullah University of Science and Technology (KAUST) as a web application utilizing the most updated Web 2.0 technologies. RBIS is designed to have an easily accessible interface that is able to host and display research activities conducted in the Red Sea. Its data model is designed to deal with any kind of marine data. For its data structure, RBIS is organizing the data into three main categories: biological data, physicochemical data, and human activities. Spatial distribution of these data is visualized on a Google-Maps mashup. Dynamic charts are used to visualize the statistics of the data. With these functionalities, data model, and data structure, RBIS is able to organize, visualize, and do instantly combined analyses of research data from the Red Sea. The current version is accessible at http://www.kaust.edu.sa/rbis. © 2010 IEEE.
AB - Marine studies, surveys, and observational activities are continuously generating new and diverse data, which are hard to keep track of with tables and spreadsheets. Integrated data and information management systems that collect, analyze, and combine data are needed in order to provide a comprehensive picture of marine environments under study. For these reasons, we started to develop the Red Sea Biogeographic Information System (RBIS) at King Abdullah University of Science and Technology (KAUST) as a web application utilizing the most updated Web 2.0 technologies. RBIS is designed to have an easily accessible interface that is able to host and display research activities conducted in the Red Sea. Its data model is designed to deal with any kind of marine data. For its data structure, RBIS is organizing the data into three main categories: biological data, physicochemical data, and human activities. Spatial distribution of these data is visualized on a Google-Maps mashup. Dynamic charts are used to visualize the statistics of the data. With these functionalities, data model, and data structure, RBIS is able to organize, visualize, and do instantly combined analyses of research data from the Red Sea. The current version is accessible at http://www.kaust.edu.sa/rbis. © 2010 IEEE.
UR - http://hdl.handle.net/10754/564278
UR - http://ieeexplore.ieee.org/document/5603578/
UR - http://www.scopus.com/inward/record.url?scp=78349248299&partnerID=8YFLogxK
U2 - 10.1109/OCEANSSYD.2010.5603578
DO - 10.1109/OCEANSSYD.2010.5603578
M3 - Conference contribution
SN - 9781424452217
BT - OCEANS'10 IEEE SYDNEY
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -
