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CyberGIS-compute for enabling computationally intensive geospatial research

Published: 18 November 2021 Publication History

Abstract

Geospatial research and education have become increasingly dependent on cyberGIS to tackle computation and data challenges. However, the use of advanced cyberinfrastructure resources for geospatial research and education is extremely challenging due to both high learning curve for users and high software development and integration costs for developers, due to limited availability of middleware tools available to make such resources easily accessible. This tutorial describes CyberGIS-Compute as a middleware framework that addresses these challenges and provides access to high-performance resources through simple easy to use interfaces. The CyberGIS-Compute framework provides an easy to use application interface and a Python SDK to provide access to CyberGIS capabilities, allowing geospatial applications to easily scale and employ advanced cyberinfrastructure resources. In this tutorial, we will first start with the basics of CyberGIS-Jupyter and CyberGIS-Compute, then introduce the Python SDK for CyberGIS-Compute with a simple Hello World example. Then, we will take multiple real-world geospatial applications use-cases like spatial accessibility and wildfire evacuation simulation using agent based modeling. We will also provide pointers on how to contribute applications to the CyberGIS-Compute framework.

References

[1]
Wang, S., 2010. A CyberGIS Framework for the Synthesis of Cyberinfrastructure, GIS, and Spatial Analysis. Annals of the Association of American Geographers, 100(3), pp.535--557.
[2]
Padmanabhan, A., Yin, D., Lyu, F. and Wang, S., 2019. Bridging Local Cyberinfrastructure and XSEDE with CyberGIS-Jupyter. In Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (Learning) (pp. 1--3).
[3]
Yin, D., Liu, Y., Hu, H., Terstriep, J., Hong, X., Padmanabhan, A. and Wang, S., 2019. CyberGIS-Jupyter for reproducible and scalable geospatial analytics. Concurrency and Computation: Practice and Experience, 31(11), p.e5040.

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  • (2024)Geospatial Machine Learning and the Power of Python ProgrammingEthics, Machine Learning, and Python in Geospatial Analysis10.4018/979-8-3693-6381-2.ch010(223-253)Online publication date: 10-May-2024
  • (2024)Providing Accessible Software Environments Across Science Gateways and HPCPractice and Experience in Advanced Research Computing 2024: Human Powered Computing10.1145/3626203.3670614(1-4)Online publication date: 17-Jul-2024
  • (2023)EasyScienceGateway: A new framework for providing reproducible user environments on science gatewaysConcurrency and Computation: Practice and Experience10.1002/cpe.792936:4Online publication date: 13-Oct-2023
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Published In

cover image ACM Conferences
SpatialAPI '21: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on APIs and Libraries for Geospatial Data Science
November 2021
17 pages
ISBN:9781450391030
DOI:10.1145/3486189
  • Conference Chairs:
  • Yiqun Xie,
  • Jia Yu
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 November 2021

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Author Tags

  1. CyberGIS
  2. CyberGIS-Jupyter
  3. GIScience
  4. high performance computing

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Overall Acceptance Rate 7 of 11 submissions, 64%

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Cited By

View all
  • (2024)Geospatial Machine Learning and the Power of Python ProgrammingEthics, Machine Learning, and Python in Geospatial Analysis10.4018/979-8-3693-6381-2.ch010(223-253)Online publication date: 10-May-2024
  • (2024)Providing Accessible Software Environments Across Science Gateways and HPCPractice and Experience in Advanced Research Computing 2024: Human Powered Computing10.1145/3626203.3670614(1-4)Online publication date: 17-Jul-2024
  • (2023)EasyScienceGateway: A new framework for providing reproducible user environments on science gatewaysConcurrency and Computation: Practice and Experience10.1002/cpe.792936:4Online publication date: 13-Oct-2023
  • (2022)CyberGIS-Cloud: A unified middleware framework for cloud-based geospatial research and educationPractice and Experience in Advanced Research Computing 2022: Revolutionary: Computing, Connections, You10.1145/3491418.3535148(1-4)Online publication date: 8-Jul-2022
  • (2022)CyberGIS for Scalable Remote Sensing Data FusionPractice and Experience in Advanced Research Computing 2022: Revolutionary: Computing, Connections, You10.1145/3491418.3535145(1-4)Online publication date: 8-Jul-2022

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