hydrographr
Provides a collection of R function wrappers for GDAL and GRASS-GIS functions to efficiently work with Hydrography90m and spatial biodiversity data.
https://github.com/glowabio/hydrographr
Category: Hydrosphere
Sub Category: Ocean and Hydrology Data Access
Last synced: about 3 hours ago
JSON representation
Repository metadata
- Host: GitHub
- URL: https://github.com/glowabio/hydrographr
- Owner: glowabio
- License: gpl-3.0
- Created: 2022-09-12T19:13:33.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2026-05-04T10:35:21.000Z (23 days ago)
- Last Synced: 2026-05-09T14:03:27.408Z (17 days ago)
- Language: Jupyter Notebook
- Homepage: https://glowabio.github.io/hydrographr/
- Size: 135 MB
- Stars: 25
- Watchers: 9
- Forks: 2
- Open Issues: 36
- Releases: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Authors: authors.html
README.md
hydrographr
hydrographr provides a collection of R function wrappers for GDAL and GRASS-GIS functions to efficiently work with Hydrography90m and spatial biodiversity data. The easy-to-use functions process large raster and vector data directly on disk in parallel, such that the memory of R does not get overloaded. This allows creating scalable data processing and analysis workflows in R, even though the data is not processed directly in R.
The package contains currently these functions:
We invite users to test the package and to provide feedback. Please notify us of any possible issues, bugs and feature requests under the issues tab on the top of this page.
Installation
Please see the installation guide of the required tools at https://glowabio.github.io/hydrographr/articles/hydrographr.html. Afterwards, use the following lines to install the package in R:
install.packages("remotes")
remotes::install_github("glowabio/hydrographr")
library(hydrographr)
The pdf manual of the hydrographr package can be downloaded here.
Publication
You can find more details on the package and its applications in our recently published
paper in Methods in Ecology and Evolution.
Please cite the hydrographr package as:
Schürz, M., Grigoropoulou, A., Garcia Marquez, J.R., Tomiczek, T., Floury, M., Schürz, C., Amatulli, G., Grossart, H.-P., Domisch, S. (2023). hydrographr: an R package for scalable hydrographic data processing. Methods in Ecology and Evolution, doi:10.1111/2041-210X.14226.
Please also cite the Hydrography90m data:
Amatulli, G., Garcia Marquez, J.R., Sethi, T., Kiesel, J., Grigoropoulou, A., Üblacker, M., Shen, L., Domisch, S. (2022). Hydrography90m: A new high-resolution global hydrographic dataset. Earth System Science Data, 14, 4525–4550, doi:10.5194/essd-14-4525-2022.
If you're using the environmental data, please also cite the Environment90m data:
Garcia Marquez, J., Amatulli, G., Grigoropoulou, A., Schürz, M., Tomiczek, T., Buurman, M., Bremerich, V., Bego, K. and Domisch, S.: Global datasets of aggregated environmental variables at the sub-catchment scale for freshwater biodiversity modeling, in prep.
(Please contact the authors for more up-to-date citation info.)
We thank NFDI4Biodiversity and NFDI4Earth for providing the funding that helped us getting the hydrographr package together!
Owner metadata
- Name: Global freshwater biodiversity research
- Login: glowabio
- Email:
- Kind: organization
- Description:
- Website: https://glowabio.org/
- Location: Germany
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/113365150?v=4
- Repositories: 2
- Last ynced at: 2023-03-08T22:20:47.236Z
- Profile URL: https://github.com/glowabio
GitHub Events
Total
- Pull request event: 32
- Fork event: 1
- Issues event: 23
- Watch event: 7
- Issue comment event: 12
- Push event: 126
- Pull request review event: 17
- Create event: 9
Last Year
- Pull request event: 2
- Fork event: 1
- Issues event: 14
- Watch event: 2
- Issue comment event: 4
- Push event: 87
- Pull request review event: 2
- Create event: 4
Committers metadata
Last synced: 11 days ago
Total Commits: 1,486
Total Committers: 12
Avg Commits per committer: 123.833
Development Distribution Score (DDS): 0.559
Commits in past year: 334
Committers in past year: 4
Avg Commits per committer in past year: 83.5
Development Distribution Score (DDS) in past year: 0.204
| Name | Commits | |
|---|---|---|
| afrogri37 | a****7@g****m | 655 |
| mueblacker | m****r@p****t | 216 |
| Merret | m****n@i****e | 202 |
| Sami Domisch | d****h@i****e | 116 |
| mueblacker | m****r@i****e | 91 |
| Jaime Garcia Marquez | j****z@g****m | 62 |
| tomitho | 1****o | 48 |
| Thomas Tomiczek | t****k@A****E | 27 |
| yusdiel | y****s@g****m | 26 |
| Sami Domisch | d****h@A****E | 23 |
| Christoph Schürz | c****z@b****t | 19 |
| vbremerich | b****h@i****e | 1 |
Committer domains:
- igb-berlin.de: 4
- ad.igb-berlin.de: 2
- boku.ac.at: 1
- posteo.at: 1
Issue and Pull Request metadata
Last synced: 24 days ago
Total issues: 28
Total pull requests: 34
Average time to close issues: about 1 month
Average time to close pull requests: 4 days
Total issue authors: 12
Total pull request authors: 6
Average comments per issue: 0.43
Average comments per pull request: 0.12
Merged pull request: 26
Bot issues: 0
Bot pull requests: 0
Past year issues: 11
Past year pull requests: 7
Past year average time to close issues: 4 days
Past year average time to close pull requests: 3 days
Past year issue authors: 5
Past year pull request authors: 3
Past year average comments per issue: 0.0
Past year average comments per pull request: 0.0
Past year merged pull request: 5
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- domisch (7)
- krisbego (4)
- JaimeRi (3)
- afrogri37 (3)
- mueblacker (2)
- merretbuurman (2)
- AnthonyBasooma (2)
- ytorres-cambas (1)
- tomitho (1)
- JuanAlv-Col (1)
- bwegsche (1)
- AndresPeredo (1)
Top Pull Request Authors
- merretbuurman (17)
- tomitho (11)
- afrogri37 (2)
- JaimeRi (2)
- ytorres-cambas (1)
- domisch (1)
Top Issue Labels
- enhancement (1)
Top Pull Request Labels
Dependencies
- data.table >= 1.14.2 imports
- processx >= 3.7.0 imports
Score: 6.595780513961312