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. Swetnam, T. L., Pelletier, J. D., Rasmussen, C., Callahan, N. R., Merchant, N., Lyons, E., Rynge, M., Liu, Y., Nandigam, V., & Crosby, C. In XSEDE16 Conference on Diversity, Big Data, and Science at Scale, of XSEDE16, pages 21:1–21:6, 2016. ACM. Paper doi bibtex @InProceedings{ swetnam:2016:sga:2949550.2949573,
Author = {Swetnam, T. L. and Pelletier, J. D. and Rasmussen, C. and
Callahan, N. R. and Merchant, N. and Lyons, E. and Rynge,
M. and Liu, Y. and Nandigam, V. and Crosby, C.},
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},
BookTitle = {XSEDE16 Conference on Diversity, Big Data, and Science at
Scale},
Series = {XSEDE16},
Year = {2016},
ISBN = {978-1-4503-4755-6},
Location = {Miami, USA},
Pages = {21:1--21:6},
articleno = {21},
numpages = {6},
URL = {http://doi.acm.org/10.1145/2949550.2949573},
DOI = {10.1145/2949550.2949573},
acmid = {2949573},
Publisher = {ACM},
Keywords = {CyberGIS, GDAL, GRASS, Makeflow, Work Queue}
}
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