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Abstract Data Models and System Design for Big Data Geospatial Analytics

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Emerging Technology Trends in Electronics, Communication and Networking

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 952))

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Abstract

The objective of this research is to design an abstract framework that can be used to represent and visualize any kind of geographical phenomena. The framework aims to be generalized in nature so that it can be applicable to all different kinds of geographical phenomena. There are three different proposed abstractions, namely objects, events and processes. We also propose a generic system design framework for developing a big data geospatial analytics application. The system design proposed provides a brief overview of what a usual big data geospatial analytics system might look like. The design highlights a few important aspects of the system like data ingestion and data store selection.

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Authors and Affiliations

  1. Institute of Technology, Nirma University, Ahmedabad, India

    Vimal Sheoran & Jai Prakash Verma

Authors
  1. Vimal Sheoran
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  2. Jai Prakash Verma
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Corresponding author

Correspondence to Vimal Sheoran .

Editor information

Editors and Affiliations

  1. Department of Electronics Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, India

    Rasika Dhavse

  2. Department of Electronics and Communication Engineering, MNNIT Allahabad, Prayagraj, India

    Vinay Kumar

  3. Department of Computer Engineering, Kore University of Enna, Enna, Italy

    Salvatore Monteleone

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Sheoran, V., Verma, J.P. (2023). Abstract Data Models and System Design for Big Data Geospatial Analytics. In: Dhavse, R., Kumar, V., Monteleone, S. (eds) Emerging Technology Trends in Electronics, Communication and Networking. Lecture Notes in Electrical Engineering, vol 952. Springer, Singapore. https://doi.org/10.1007/978-981-19-6737-5_16

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  • DOI: https://doi.org/10.1007/978-981-19-6737-5_16

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-6736-8

  • Online ISBN: 978-981-19-6737-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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