Scaling GIS analysis tasks from the desktop to the cloud utilizing contemporary distributed computing and data management approaches: A case study of project-based learning and cyberinfrastructure concepts

T. L. Swetnam, J. D. Pelletier, C. Rasmussen, N. R. Callahan, N. Merchant, E. Lyons, M. Rynge, Yan Liu 0009, Viswanath Nandigam, Christopher J. Crosby. Scaling GIS analysis tasks from the desktop to the cloud utilizing contemporary distributed computing and data management approaches: A case study of project-based learning and cyberinfrastructure concepts. In Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale, Miami, USA, July 17-21, 2016. pages 21, ACM, 2016. [doi]

@inproceedings{SwetnamPRCMLR0N16,
  title = {Scaling GIS analysis tasks from the desktop to the cloud utilizing contemporary distributed computing and data management approaches: A case study of project-based learning and cyberinfrastructure concepts},
  author = {T. L. Swetnam and J. D. Pelletier and C. Rasmussen and N. R. Callahan and N. Merchant and E. Lyons and M. Rynge and Yan Liu 0009 and Viswanath Nandigam and Christopher J. Crosby},
  year = {2016},
  doi = {10.1145/2949550.2949573},
  url = {http://doi.acm.org/10.1145/2949550.2949573},
  researchr = {https://researchr.org/publication/SwetnamPRCMLR0N16},
  cites = {0},
  citedby = {0},
  pages = {21},
  booktitle = {Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale, Miami, USA, July 17-21, 2016},
  publisher = {ACM},
  isbn = {978-1-4503-4755-6},
}