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Created: | Jan 13, 2023 at 7:30 p.m. | |
Last updated: | Jan 16, 2023 at 10:32 p.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
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Abstract
This software introduces HydroLang, an open-source and integrated community-driven computational web framework for hydrology and water resources research and education. HydroLang employs client-side web technologies and standards to carry out various routines aimed at acquiring, managing, transforming, analyzing, and visualizing hydrological datasets. HydroLang consists of four major high-cohesion low-coupling modules: (1) retrieving, manipulating, and transforming raw hydrological data, (2) statistical operations, hydrological analysis, and model creation, (3) generating graphical and tabular data representations, and (4) mapping and geospatial data visualization. HydroLang's unique modular architecture and open-source nature allow it to be easily tailored into any use case and web framework, and it encourages iterative enhancements with community involvement to establish the comprehensive next-generation hydrological software toolkit. Case studies can be found in the repositories linked to the software.
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Spatial
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Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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CUAHSI | 2021 Hydroinformatics Fellowship Award | NSF: EAR-1849458 |
University of Iowa's Hydroinformatics Lab |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
Name | Organization | Address | Phone | Author Identifiers |
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Carlos Erazo | University of Iowa | Iowa, US | 7866748068 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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