Fingerprint Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Geographic information systems Engineering & Materials Science
model Social Sciences
Experiments Engineering & Materials Science
Grid Mathematics
data Social Sciences
Decomposition Engineering & Materials Science
Computing Mathematics
land use Social Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2003 2017

A cyberGIS approach to uncertainty and sensitivity analysis in biomass supply chain optimization

Hu, H., Lin, T., Wang, S. & Rodriguez, L. F. Oct 1 2017 In : Applied Energy. 203, p. 26-40 15 p.

Research output: Contribution to journalArticle

Biomass
biomass
Supply chains
Costs
Uncertainty analysis

A cybergis-jupyter framework for geospatial analytics at scale

Yin, D., Liu, Y., Padmanabhan, A., Terstriep, J., Rush, J. & Wang, S. Jul 9 2017 PEARC 2017 - Practice and Experience in Advanced Research Computing 2017: Sustainability, Success and Impact. Association for Computing Machinery, Vol. Part F128771, a18

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Information science
Information systems
Supercomputers
Cloud computing
Big data
interaction
Great Britain
mobility
twitter
human being

Accelerating TauDEM for extracting hydrology information from national-scale high resolution topographic dataset

Yildirim, A. A., Tarboton, D., Liu, Y., Sazib, N. S. & Wang, S. Jul 17 2016 Proceedings of XSEDE 2016: Diversity, Big Data, and Science at Scale. Association for Computing Machinery, Vol. 17-21-July-2016, a3

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hydrology
Decomposition

A scalable high-performance topographic flow direction algorithm for hydrological information analysis

Survila, K., Yildirim, A. A., Li, T., Liu, Y. Y., Tarboton, D. G. & Wang, S. Jul 17 2016 Proceedings of XSEDE 2016: Diversity, Big Data, and Science at Scale. Association for Computing Machinery, Vol. 17-21-July-2016, a11

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Parallel algorithms
Information analysis
Parallel flow
Supercomputers
Hydrology