hydroTSM
Time Series Management and Analysis for Hydrological Modelling
Science Score: 39.0%
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
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 4 DOI reference(s) in README -
○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (18.8%) to scientific vocabulary
Keywords
Repository
Time Series Management and Analysis for Hydrological Modelling
Basic Info
- Host: GitHub
- Owner: hzambran
- Language: R
- Default Branch: master
- Homepage: https://CRAN.R-project.org/package=hydroTSM
- Size: 16.3 MB
Statistics
- Stars: 47
- Watchers: 7
- Forks: 13
- Open Issues: 8
- Releases: 5
Topics
Metadata Files
README.md
hydroTSM
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hydroTSM provides S3 functions for management, analysis and plotting of time series used in hydrology and related environmental sciences. In particular, this package is highly oriented to hydrological modelling tasks.
The focus of this package has been put in providing a collection of tools useful for the daily work of hydrologists (although an effort was made to optimize each function as much as possible, functionality has had priority over speed).
Bugs / comments / questions / collaboration of any kind are very welcomed, and in particular, datasets that can be included in this package for academic purposes.
Installation
Installing the latest stable version from CRAN:
{r}
install.packages("hydroTSM")
Alternatively, you can also try the under-development version from Github:
{r}
if (!require(devtools)) install.packages("devtools")
library(devtools)
install_github("hzambran/hydroTSM")
Reporting bugs, requesting new features
If you find an error in some function, or want to report a typo in the documentation, or to request a new feature (and wish it be implemented :) you can do it here
Citation
{r}
citation("hydroTSM")
To cite hydroTSM in publications use:
Zambrano-Bigiarini, Mauricio (2024). hydroTSM: Time Series Management and Analysis for Hydrological Modelling. R package version 0.7-0. URL:https://cran.r-project.org/package=hydroTSM. doi:10.5281/zenodo.839565.
A BibTeX entry for LaTeX users is
@Manual{hydroTSM,
title = {hydroTSM: Time Series Management, Analysis and Interpolation for Hydrological Modelling},
author = {Zambrano-Bigiarini, Mauricio},
note = {R package version 0.7-0},
year = {2024}, url = {https://cran.r-project.org/package=hydroTSM},
doi = {doi:10.5281/zenodo.839565},
}
Vignettes
Daily precipitation. Here you can find an introductory vignette showing the use of several hydroTSM functions for analysing daily precipitation data.
Daily streamflows. Here you can find an introductory vignette showing the use of several hydroTSM functions for analysing daily streamflow data.
Related Material
R: a statistical environment for hydrological analysis (EGU-2010) abstract, poster.
Using R for analysing spatio-temporal datasets: a satellite-based precipitation case study (EGU-2017) abstract, poster.
See Also
Owner
- Name: Mauricio Zambrano-Bigiarini
- Login: hzambran
- Kind: user
- Location: Temuco, Chile
- Company: Deptartment of Civil Engineering, Faculty of Engineering and Sciences, Universidad de La Frontera
- Website: http://hzambran.github.io/
- Repositories: 11
- Profile: https://github.com/hzambran
Civil Engineer, PhD in Environmental Engineering, with more than 20 years of experience in water resources (development and assessment of hydrological models)
GitHub Events
Total
- Issues event: 1
- Watch event: 1
- Push event: 7
Last Year
- Issues event: 1
- Watch event: 1
- Push event: 7
Committers
Last synced: over 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Mauricio Zambrano-Bigiarini | m****l@g****m | 506 |
| hzambran | h****n@b****5 | 216 |
| Mauricio Zambrano-Bigiarini | h****n | 3 |
| Joschka Thurner | m****l@j****e | 1 |
| rforge | r****e@b****5 | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 23
- Total pull requests: 2
- Average time to close issues: over 2 years
- Average time to close pull requests: N/A
- Total issue authors: 21
- Total pull request authors: 2
- Average comments per issue: 1.96
- Average comments per pull request: 1.5
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- hzambran (3)
- nduqueg (1)
- JulioV (1)
- beareyes (1)
- pgokool (1)
- odelaigue (1)
- khbrc (1)
- fipoucat (1)
- freysimon (1)
- HerminioSabino (1)
- Ahmadffrahmand (1)
- Rodrxx (1)
- niekkoelewijn (1)
- rsbivand (1)
- hiztirab (1)
Pull Request Authors
- Keramadohal (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 2
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Total downloads:
- cran 2,287 last-month
- Total docker downloads: 47,184
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Total dependent packages: 5
(may contain duplicates) -
Total dependent repositories: 11
(may contain duplicates) - Total versions: 17
- Total maintainers: 1
cran.r-project.org: hydroTSM
Time Series Management and Analysis for Hydrological Modelling
- Homepage: https://github.com/hzambran/hydroTSM
- Documentation: http://cran.r-project.org/web/packages/hydroTSM/hydroTSM.pdf
- License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
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Latest release: 0.7-0.1
published over 1 year ago
Rankings
Maintainers (1)
conda-forge.org: r-hydrotsm
- Homepage: https://github.com/hzambran/hydroTSM
- License: GPL-2.0-or-later
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Latest release: 0.6_0
published over 3 years ago
Rankings
Dependencies
- R >= 2.10.0 depends
- xts >= 0.9 depends
- zoo >= 1.7 depends
- automap * imports
- chron * imports
- e1071 * imports
- grDevices * imports
- graphics * imports
- gstat * imports
- lattice * imports
- maptools * imports
- methods * imports
- sp >= 1.1 imports
- stats * imports
- utils * imports
- rmarkdown * suggests