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Geoenvironmental zoning evaluation and optimization

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Abstract

The problem of fast pattern classification by automatic analytical and sorting techniques is relevant across a wide range of scientific and technical disciplines. Since the availability of mass transactional and experimental data sets to address the challenges faced by the Earth and environmental scientists, validation of zoning has become an important topic. In this paper, we propose a new approach for producing Automatic Integrated Self-Organized Optimum Zoning (AISOOZ) maps using comprehensive (multivariate) geological and geophysical data. Unlike conventional zoning, the new approach includes techniques for finding the optimal structure that best fits natural pattern of a given area without the benefit of any a priori class information. While there are obvious similarities between the conventional and new optimal zoning maps, the automatic optimal approach reveals new insights into the geological evolution of the study area that could not be observed on the conventional maps. The success of the AISOOZ case study encourages the enlargement of its scope and application for rapid online as well as offline interactive multivariate pattern discovery in the Earth and environmental sciences studies. Finally, a comparative study between two widely used stopping criteria for optimal zoning and pattern recognition has been performed.

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Acknowledgments

This work was supported by the Center of Excellence for Environmental Geohazards, and the Research Council of Shiraz University. One of the authors (S.F.) is grateful to the Ministry of Science, Research and Technology of Iran and Iranian National Institute of Oceanography for financial support.

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Authors and Affiliations

  1. Department of Earth Sciences, College of Sciences, Shiraz University, Shiraz, Iran

    Ahmad Zamani & Sedigheh Farahi

  2. Department of Computer Science and IT, Faculty of Engineering, Shiraz University, Shiraz, Iran

    Reza Boostani & Hamed Hassani-Saadi

Authors
  1. Ahmad Zamani
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  2. Sedigheh Farahi
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  3. Reza Boostani
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  4. Hamed Hassani-Saadi
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Corresponding author

Correspondence to Ahmad Zamani.

Additional information

Communicated by: H. A. Babaie

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Zamani, A., Farahi, S., Boostani, R. et al. Geoenvironmental zoning evaluation and optimization. Earth Sci Inform 8, 583–593 (2015). https://doi.org/10.1007/s12145-014-0184-0

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  • DOI: https://doi.org/10.1007/s12145-014-0184-0

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