ORCID Profile
0000-0002-4424-1493
Current Organisation
Pennsylvania State University University Park
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Publisher: Elsevier BV
Date: 12-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2016
Publisher: Elsevier BV
Date: 2019
Publisher: Wiley
Date: 12-01-2016
DOI: 10.1002/GEA.21532
Publisher: IEEE
Date: 12-2011
Publisher: Elsevier BV
Date: 11-2014
Publisher: SAGE Publications
Date: 09-08-2016
Abstract: This article reports on the development and application of a visual analytics approach to big data cleaning and integration focused on very large graphs, constructed in support of national-scale hydrological modeling. We explain why large graphs are required for hydrology modeling and describe how we create two graphs using continental United States heterogeneous national data products. The first smaller graph is constructed by assigning level-12 hydrological unit code watersheds as nodes. Creating and cleaning graphs at this scale highlight the issues that cannot be addressed without high-resolution datasets and expert intervention. Expert intervention, aided with visual analytical tools, is necessary to address edge directions at the second graph scale: sub iding continental United States streams as edges (851,265,305) and nodes (683,298,991) for large-scale hydrological modeling. We demonstrate how large graph workflows are created and are used for automated analysis to prepare the user interface for visual analytics. We explain the design of the visual interface using a watershed case study and then discuss how the visual interface is used to engage the expert user to resolve data and graph issues.
Publisher: Elsevier BV
Date: 04-2016
Location: United States of America
Location: United States of America
Location: United States of America
No related grants have been discovered for Lorne Leonard.