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Development of 3D Earth Visualization for Taiwan Ocean Environment Demonstration

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Data Mining and Big Data (DMBD 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10387))

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Abstract

This paper presents a three-dimensional earth representation system for visualization of Taiwan Ocean data, based on the mixed MySQL and HBase databases. The Client-Server architecture is used to provide Web GIS services in this system. In addition, the WebGIS and WebGL are adopted to enhance 3D visualization of the ocean data. In order to achieve better data-access performance, the architecture of HBase combined with MySQL is used to accommodate different data types and sizes in the back end of system. Finally, we implement the information of sea-going onboard survey, including concentrations of chlorophyll a salinity and temperature, shore-based surface current data and PM2.5 data, onto the 3D-GIS display platform for environmental decision making in the future.

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References

  1. Hadoop. http://hadoop.apache.org/

  2. Wu, C.-H., Tsai, W.-F., Lin, F., Chang, W.-Y., Lin, S.-C., Yang, C.-T.: Big data development platform for engineering applications. In: 2016 IEEE Big Data Conference-Big Spatial Data Workshop, Washington D.C., pp. 2699–2702. IEEE (2016)

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  9. Spark. http://spark.apache.org/

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Acknowledgments

Financial support from the Ministry of Science and Technology, Taiwan, under Grants MOST 105-2634-E-492-001 is highly appreciated. We are also grateful to the National Center for High-Performance Computing for computer time and Taiwan Ocean Research Institute.

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Correspondence to Franco Lin .

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Lin, F., Chang, WY., Tsai, WF., Shih, CC. (2017). Development of 3D Earth Visualization for Taiwan Ocean Environment Demonstration. In: Tan, Y., Takagi, H., Shi, Y. (eds) Data Mining and Big Data. DMBD 2017. Lecture Notes in Computer Science(), vol 10387. Springer, Cham. https://doi.org/10.1007/978-3-319-61845-6_31

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  • DOI: https://doi.org/10.1007/978-3-319-61845-6_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61844-9

  • Online ISBN: 978-3-319-61845-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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