Web-based Visualization Platform for Geospatial Data

Martin Hecher, Christoph Traxler, Gerd Hesina, Anton Fuhrmann

Abstract

This paper describes a new platform for geospatial data analysis. The main purpose is to explore new ways to visualize and interact with multidimensional satellite data and computed models from various Earth Observation missions. The new V-MANIP platform facilitates a multidimensional exploring approach that allows to view the same dataset in multiple viewers at the same time to efficiently find and explore interesting features within the shown data. The platform provides visual analytics capabilities including viewers for displaying 2D or 3D data representations, as well as for volumetric input data. Via a simple configuration file the system can be configured for different stakeholder use cases, by defining desired data sources and available viewer modules. The system architecture, which will be discussed in this paper in detail, uses Open Geospatial Consortium web service interfaces to allow an easy integration of new visualization modules. The implemented software is based on open source libraries and uses modern web technologies to provide a platform-independent, plugin free user experience.

References

  1. (2010). Space-in-time and Time-in-space Selforganizing Maps for Exploring Spatiotemporal Patterns. In Proceedings of the 12th Eurographics / IEEE - VGTC Conference on Visualization, EuroVis'10, pages 913-922, Aire-la-Ville, Switzerland, Switzerland. Eurographics Association.
  2. Data-Driven Documents (D3).
  3. Bostock, M. (2014). http://d3js.org/.
  4. Brooks, S. and Whalley, J. L. (2008). Multilayer hybrid visualizations to support 3D GIS. Computers, Environment and Urban Systems, pages 278-292.
  5. Butkiewicz, T., Dou, W., Wartell, Z., Ribarsky, W., and Chang, R. (2008). Multi-Focused Geospatial Analysis Using Probes. IEEE Transactions on Visualization and Computer Graphics, 14(6):1165-1172.
  6. Dykes, J., Fabrikant, S., and Wood, J. (2005). Preface. In Kraak, J. D. M. M.-J., editor, Exploring Geovisualization, International Cartographic Association, pages ix - xii. Elsevier, Oxford.
  7. GlobWeb (2014). Virtual Globe https://github.com/TPZF/GlobWeb.
  8. Kapler, T. and Wright, W. (2004). GeoTime Information Visualization. In Proceedings of the IEEE Symposium on Information Visualization, INFOVIS 7804, pages 25- 32, Washington, DC, USA. IEEE Computer Society.
  9. National Institutes of Health (2014). Nifti - neuroimaging informatics technology initiative.
  10. Sazid Mahammad, S. and Ramakrishnan, R. (2014). GeoTIFF - A standard image file format for GIS applications. http:// www.gisdevelopment.net/ technology/ ip/ mi03117pf.htm.
  11. Schilling, A. and Kolbe, T. H. (2010). Draft for OpenGIS Web 3D Service Implementation Standard. http://www.w3ds.org/doku.php.
  12. The X Toolkit (XTK) (2014). https://github.com/xtk/X.
  13. Tominski, C., Schulze-Wollgast, P., and Schumann, H. (2005). 3D Information Visualization for Time Dependent Data on Maps. In Proceedings of the Ninth International Conference on Information Visualisation, IV 7805, pages 175-181, Washington, DC, USA. IEEE Computer Society.
Download


Paper Citation


in Harvard Style

Hecher M., Traxler C., Hesina G. and Fuhrmann A. (2015). Web-based Visualization Platform for Geospatial Data . In Proceedings of the 6th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2015) ISBN 978-989-758-088-8, pages 311-316. DOI: 10.5220/0005359503110316


in Bibtex Style

@conference{ivapp15,
author={Martin Hecher and Christoph Traxler and Gerd Hesina and Anton Fuhrmann},
title={Web-based Visualization Platform for Geospatial Data},
booktitle={Proceedings of the 6th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2015)},
year={2015},
pages={311-316},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005359503110316},
isbn={978-989-758-088-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2015)
TI - Web-based Visualization Platform for Geospatial Data
SN - 978-989-758-088-8
AU - Hecher M.
AU - Traxler C.
AU - Hesina G.
AU - Fuhrmann A.
PY - 2015
SP - 311
EP - 316
DO - 10.5220/0005359503110316