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Cloud Computing for Geospatial Big Data Analytics pp 215–224Cite as

Geocloud4GI: Cloud SDI Model for Geographical Indications Information Infrastructure Network

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Part of the book series: Studies in Big Data ((SBD,volume 49))

Abstract

In the digital planet, the concept of spatial data, its cloud and Geographical Indications (GI) plays a crucial role for mapping any organization or point and acquired a reputation for producing quality results based on their spatial characteristics, including their visualization. From the twentieth century onwards, the GIS were also developed to capture, store and analyze spatial data, replacing the tedious analogue map making process. The current examine paper put forwards along with develops a Cloud SDI representation named as Geocloud4GI for giving out, investigation and dispensation of geospatial facts particularly for registered GIs in India. The primary purpose of Geocloud4GI framework is to assimilate the entire registered GIs’ information and related locations such as state wise and year wise registered in India. Geocloud4GI framework can assist/help common people to get enough information for their further studies and research on GI as one of the integral part of IPR studies. QGIS is used for GI geospatial database creation and visualization. With the integration of QGIS Cloud Plug-in, the GI geospatial database uploaded in cloud server for analysis cloud infrastructure. Finally, overlay analysis has performed with the help of Google base maps in Geocloud4GI environment.

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Acknowledgements

Authors are thanking to all the experts those are involved for completion of these research work.

Author information

Authors and Affiliations

  1. School of Computer Applications, KIIT Deemed to be University, Bhubaneswar, India

    Rabindra Kumar Barik

  2. School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India

    Meenakshi Kandpal & Himansu Das

  3. University of Texas at Dallas, Richardson, USA

    Harishchandra Dubey

  4. Visvesvaraya National Institute of Technology, Nagpur, India

    Vinay Kumar

Authors
  1. Rabindra Kumar Barik
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  2. Meenakshi Kandpal
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  3. Harishchandra Dubey
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  4. Vinay Kumar
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  5. Himansu Das
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Corresponding author

Correspondence to Rabindra Kumar Barik .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India

    Himansu Das

  2. School of Computer Application, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India

    Rabindra K. Barik

  3. Center for Robust Speech Systems, University of Texas at Dallas, Richardson, TX, USA

    Harishchandra Dubey

  4. Department of Computer Science and Engineering, National Institute of Technology, Meghalaya, Shillong, Megalaya, India

    Diptendu Sinha Roy

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Barik, R.K., Kandpal, M., Dubey, H., Kumar, V., Das, H. (2019). Geocloud4GI: Cloud SDI Model for Geographical Indications Information Infrastructure Network. In: Das, H., Barik, R., Dubey, H., Roy, D. (eds) Cloud Computing for Geospatial Big Data Analytics. Studies in Big Data, vol 49. Springer, Cham. https://doi.org/10.1007/978-3-030-03359-0_10

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