https://github.com/fernando-aristizabal/hyriver-examples
Example Notebooks for HyRiver software stack
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
Links to: joss.theoj.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (11.2%) to scientific vocabulary
Repository
Example Notebooks for HyRiver software stack
Basic Info
- Host: GitHub
- Owner: fernando-aristizabal
- License: mit
- Default Branch: main
- Homepage: https://docs.hyriver.io/
- Size: 428 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Examples Notebooks
HyRiver is a software stack consisting of six Python libraries that are designed to aid in watershed analysis through web services. Currently, this project only includes hydrology and climatology data within the US. Some major capabilities of HyRiver are as follows:
- Easy access to many web services for subsetting data on the server side and returning the requests
as masked Datasets or
geopandas.GeoDataFrames. - Splitting large requests into smaller chunks since web services often limit the number of features per request. So the only bottleneck for subsetting the data is your local machine memory.
- Navigating and subsetting the NHDPlus database (both medium- and high-resolution) using web services.
- Cleaning up the vector NHDPlus data, fixing some common issues, and computing vector-based accumulation through a river network.
- A URL inventory for some popular (and tested) web services.
- Some utilities for manipulating the obtained data and their visualization.
Citation
If you use any of HyRiver packages in your research, we appreciate citations:
bibtex
@article{Chegini_2021,
author = {Chegini, Taher and Li, Hong-Yi and Leung, L. Ruby},
doi = {10.21105/joss.03175},
journal = {Journal of Open Source Software},
month = {10},
number = {66},
pages = {1--3},
title = {{HyRiver: Hydroclimate Data Retriever}},
volume = {6},
year = {2021}
}
Owner
- Name: Fernando Aristizabal
- Login: fernando-aristizabal
- Kind: user
- Location: Florida, USA
- Company: ERT
- Website: www.linkedin.com/in/fernando-aristizabal
- Repositories: 29
- Profile: https://github.com/fernando-aristizabal
Scientist experimenting with remote sensing, machine learning, partial differential equations, flood inundation mapping, and geospatial sciences.