Managing and 3D Visualization of Real-time Big Geo-referenced Data from Las Palmas Port through a Flexible Open Source Computer Architecture

José P. Suárez, Agustín Trujillo, Conrado Domínguez, José M. Santana, Pablo Fernández

2015

Abstract

Nowadays, new technologies assist the capture and analysis of data for all kinds of organizations. A good example of this trend are the seaports that generate data regarding the management of marine traffic and other elements, as well as environmental conditions given by meteorological sensors and buoys. However, this enormous amount of data, also known as “Big Data”, is useless without a proper system to visualize and organize them. Governments are fully aware of this and promote the creation of visualization and control systems that are useful to port authorities. In the line of management systems based on GIS, the SmartPort project has been developed. SmartPort offers a rich-internet application that allows the user to visualize and manage the different sources of information of a port environment. The “Big Data” management is based on the FI-WARE tools and architecture, as well as “The Internet of Things” solutions for the data acquisition. At the same time, the Glob3 Mobile SDK for the development of map apps will support the 3D visualization of the port’s scenery and its data sources.

References

  1. Claramunt, C., Devogele, T., Fournier, S., Noyon, V., Petit, M., and Ray, C. (2007). Maritime gis: from monitoring to simulation systems. In Information Fusion and Geographic Information Systems, pages 34-44. Springer.
  2. Georgas, N. and Blumberg, A. F. (2010). Establishing confidence in marine forecast systems: The design and skill assessment of the new york harbor observation and prediction system, version 3 (nyhops v3). In 11th International Conference in Estuarine and Coastal Modeling (ECM11). Spalding, ML, Ph. D., PE, American Society of Civil Engineers, Washington, pages 660-685.
  3. Kaminski, L., Kulawiak, M., Cizmowski, W., Chybicki, A., Stepnowski, A., and Orlowski, A. (2009). Web-based gis dedicated for marine environment surveillance and monitoring. In OCEANS 2009-EUROPE, pages 1-7. IEEE.
  4. Kim, S. A., Shin, D., Choe, Y., Seibert, T., and Walz, S. P. (2012). Integrated energy monitoring and visualization system for smart green city development: Designing a spatial information integrated energy monitoring model in the context of massive data management on a web based platform. Automation in Construction, 22:51-59.
  5. McCann, M. P. (2004). Using geovrml for 3d oceanographic data visualizations. In Proceedings of the ninth international conference on 3D Web technology, pages 15-21. ACM.
  6. Pedriza, A., Citores, M., de la Calle, M., Gómez-Deck, D., Trujillo, A., Santana, J., Perdomo, K., and Suárez, J. (2012). Glob3 mobile: Sistemas de información geográficos 3d en entornos de movilidad. In III Jornadas Ibéricas de Infraestructura de Datos Espaciales, Madrid, Spain.
  7. Suárez, J. and Plaza, A. (2009). Four-triangles adaptive algorithms for rtin terrain meshes. Mathematical and Computer Modelling, 49(5):1012-1020.
  8. Talukder, A. and Panangadan, A. (2009). Online visualization of adaptive distributed sensor webs. In Aerospace conference, 2009 IEEE, pages 1-8. IEEE.
  9. Trujillo, A., Gómez-Deck, D., de la Calle, M., Suárez, J., Pedriza, A., and Santana, J. (2013). Glob3 mobile: An open source framework for designing virtual globes on ios and android mobile devices. In Progress and New Trends in 3D Geoinformation Sciences, pages 211-229. Springer.
  10. Trujillo, A., Suárez, J., Santana, J., de la Calle, M., and Gómez-Deck, D. (2014). An efficient architecture for automatic shaders management on virtual globes. In Computing for Geospatial Research and Application (COM. Geo), 2014 Fifth International Conference on, pages 38-42. IEEE.
  11. Trujillo, A., Suárez, J., Santana, J., de la Calle, M., and Gómez-Deck, D. (2015). An efficient terrain level of detail implementation for mobile devices and performance study. Computers, Environment and Urban Systems, page To Appear.
  12. Villasen˜or, E. and Estrada, H. (2014). Informetric mapping of big data in fi-ware. In Proceedings of the 15th Annual International Conference on Digital Government Research, pages 348-349. ACM.
  13. Wolff, D. (2011). OpenGL 4.0 shading language cookbook. Packt Publishing Ltd.
  14. Wright, N. R. and Yoon, J. (2007). Application of GIS technologies in port facilities and operations management. ASCE Publications.
  15. Zhang, L., Stoffel, A., Behrisch, M., Mittelstadt, S., Schreck, T., Pompl, R., Weber, S., Last, H., and Keim, D. (2012). Visual analytics for the big data era-a comparative review of state-of-the-art commercial systems. In Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on, pages 173-182. IEEE.
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Paper Citation


in Harvard Style

P. Suárez J., Trujillo A., Domínguez C., M. Santana J. and Fernández P. (2015). Managing and 3D Visualization of Real-time Big Geo-referenced Data from Las Palmas Port through a Flexible Open Source Computer Architecture . In Proceedings of the 1st International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-099-4, pages 72-82. DOI: 10.5220/0005371700720082


in Bibtex Style

@conference{gistam15,
author={José P. Suárez and Agustín Trujillo and Conrado Domínguez and José M. Santana and Pablo Fernández},
title={Managing and 3D Visualization of Real-time Big Geo-referenced Data from Las Palmas Port through a Flexible Open Source Computer Architecture},
booktitle={Proceedings of the 1st International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2015},
pages={72-82},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005371700720082},
isbn={978-989-758-099-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - Managing and 3D Visualization of Real-time Big Geo-referenced Data from Las Palmas Port through a Flexible Open Source Computer Architecture
SN - 978-989-758-099-4
AU - P. Suárez J.
AU - Trujillo A.
AU - Domínguez C.
AU - M. Santana J.
AU - Fernández P.
PY - 2015
SP - 72
EP - 82
DO - 10.5220/0005371700720082