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Enabling advanced environmental management via remote and distributed visual data exploration and analysis

  • Special Issue: Remote Visualization
  • Published:
Computing and Visualization in Science

Abstract

We present a methodology that has proven useful in surmounting technical obstacles encountered while producing mobile-enabled, remote visual data exploration and analysis capabilities. Our results focus on a environmental remediation case study. Using a desktop or mobile device, a scientist is able to perform subset selection of a large collection of time-varying observational, well-log data, then to view this data in 3D from arbitrary orientations, and to view output from visualizations of a time-varying 3D fluid flow simulation showing the spread of analytes over time through the same spatial region as the observational data. This infrastructure is capable of delivering imagery to handheld devices at (modestly) interactive rates, supports a variety of different types of mobile devices, and is useful to scientists who may need to access this kind of capability from field locations.

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Acknowledgments

The authors would like to thank Deborah Agarwal, Arie Shoshani, Jennifer Horsman and Boris Faybishenko of Lawrence Berkeley National Laboratory for their valuable contributions. This work was supported by the Director, Office of Science, Office of Advanced Scientific Computing Research, of the US Department of Energy under Contract No. DE-AC02-05CH11231. This research was supported in part by National Science Foundation under NSF grant OCI 0904734. This research used resources of the National Energy Research Scientific Computing Center.

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Authors and Affiliations

  1. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Hari Krishnan, Jörg Meyer, Alex Romosan, Hank Childs & E. Wes Bethel

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  1. Hari Krishnan
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  2. Jörg Meyer
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  3. Alex Romosan
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  4. Hank Childs
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  5. E. Wes Bethel
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Correspondence to Hari Krishnan.

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Communicated by Fabrizio Lamberti and Andrea Sanna (Guest Editors).

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Krishnan, H., Meyer, J., Romosan, A. et al. Enabling advanced environmental management via remote and distributed visual data exploration and analysis. Comput. Visual Sci. 15, 123–133 (2012). https://doi.org/10.1007/s00791-013-0204-5

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  • DOI: https://doi.org/10.1007/s00791-013-0204-5

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