phenocamr
Facilitates the retrieval and post-processing of PhenoCam time series.
https://github.com/bluegreen-labs/phenocamr
Category: Biosphere
Sub Category: Terrestrial Wildlife
Keywords
phenocam phenocam-data phenology-modelling remote-sensing
Keywords from Contributors
camera phenocam-installation phenocam-network climate-data data-retrieval daymet gridded-data ornl-daac model-calibration phenology-models
Last synced: about 23 hours ago
JSON representation
Repository metadata
An R Interface and Post-Processing Framework for PhenoCam Web Services
- Host: GitHub
- URL: https://github.com/bluegreen-labs/phenocamr
- Owner: bluegreen-labs
- License: agpl-3.0
- Created: 2016-01-03T11:53:00.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2024-02-02T09:35:56.000Z (about 1 year ago)
- Last Synced: 2025-04-10T03:33:41.436Z (17 days ago)
- Topics: phenocam, phenocam-data, phenology-modelling, remote-sensing
- Language: R
- Homepage: http://bluegreen-labs.github.io/phenocamr/
- Size: 10.6 MB
- Stars: 23
- Watchers: 2
- Forks: 9
- Open Issues: 4
- Releases: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
README.md
phenocamr
Facilitates the retrieval and post-processing of PhenoCam time series. The post-processing of PhenoCam data includes outlier removal and the generation of data products such as phenological transition dates. If requested complementary Daymet climate data will be downloaded and merged with the PhenoCam data for modelling purposes. For a detailed overview of the assumptions made during post-processing I refer publications by Hufkens et al. (2018) and Richardson et al. (2018).
How to cite this package
Hufkens K., Basler J. D., Milliman T. Melaas E., Richardson A.D. 2018
An integrated phenology modelling framework in R: Phenology modelling
with phenor. Methods in Ecology &
Evolution, 9: 1-10. https://doi.org/10.1111/2041-210X.12970
Installation
stable release
To install the current stable release use a CRAN repository:
install.packages("phenocamr")
library(phenocamr)
development release
To install the development releases of the package run the following commands:
if(!require(devtools)){install.package(devtools)}
devtools::install_github("bluegreen-labs/phenocamr")
library(phenocamr)
Vignettes are not rendered by default, if you want to include additional documentation please use:
if(!require(devtools)){install.package("devtools")}
devtools::install_github("bluegreen-labs/phenocamr", build_vignettes = TRUE)
library(phenocamr)
Use
To download data for a single deciduous broadleaf forest site (harvard) use the following syntax:
download_phenocam(site = "harvard",
veg_type = "DB",
frequency = 3,
phenophase = TRUE,
out_dir = "~")
This will download all deciduous broadleaf (DB) PhenoCam time series for the "harvard" site at a 3-day time step into your home directory. In addition, the data is processed to estimate phenological transition dates (phenophases) and written to file. For detailed overview of all functions and worked example we reference to the R help documentation and the manuscripts below.
References
Hufkens K., Basler J. D., Milliman T. Melaas E., Richardson A.D. 2018 An integrated phenology modelling framework in R: Phenology modelling with phenor. Methods in Ecology & Evolution, 9: 1-10.
Richardson, A.D., Hufkens, K., Milliman, T., Aubrecht, D.M., Chen, M., Gray, J.M., Johnston, M.R., Keenan, T.F., Klosterman, S.T., Kosmala, M., Melaas, E.K., Friedl, M.A., Frolking, S. 2017. Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery. Scientific Data, 5, 180028.
Acknowledgements
This project was is supported by the National Science Foundation’s Macro-system Biology Program (awards EF-1065029 and EF-1702697). Logo design elements are taken from the FontAwesome library according to these terms.
Owner metadata
- Name: BlueGreen Labs
- Login: bluegreen-labs
- Email: [email protected]
- Kind: organization
- Description: BlueGreen open science labs & consulting, providing environmental research infrastructure and editorial solutions.
- Website: http://bluegreenlabs.org
- Location: Melsele, Belgium
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/65854203?v=4
- Repositories: 17
- Last ynced at: 2023-03-09T08:10:34.683Z
- Profile URL: https://github.com/bluegreen-labs
GitHub Events
Total
- Watch event: 2
- Fork event: 1
Last Year
- Watch event: 2
- Fork event: 1
Committers metadata
Last synced: 7 days ago
Total Commits: 279
Total Committers: 5
Avg Commits per committer: 55.8
Development Distribution Score (DDS): 0.097
Commits in past year: 6
Committers in past year: 1
Avg Commits per committer in past year: 6.0
Development Distribution Score (DDS) in past year: 0.0
Name | Commits | |
---|---|---|
Koen Hufkens | k****s@g****m | 252 |
Koen Hufkens | k****s@P****l | 12 |
bnasr | b****r@g****m | 7 |
Koen Hufkens | k****s@P****l | 6 |
Tom Milliman | t****n | 2 |
Committer domains:
Issue and Pull Request metadata
Last synced: 2 days ago
Total issues: 19
Total pull requests: 13
Average time to close issues: 12 months
Average time to close pull requests: about 1 hour
Total issue authors: 6
Total pull request authors: 3
Average comments per issue: 1.21
Average comments per pull request: 0.69
Merged pull request: 9
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- khufkens (12)
- tmilliman (3)
- benjaminrobinson (1)
- atkinsjeff (1)
- jmertic (1)
- kongdd (1)
Top Pull Request Authors
- bnasr (10)
- tmilliman (2)
- khufkens (1)
Top Issue Labels
- enhancement (5)
Top Pull Request Labels
Package metadata
- Total packages: 2
-
Total downloads:
- cran: 327 last-month
- Total dependent packages: 0 (may contain duplicates)
- Total dependent repositories: 2 (may contain duplicates)
- Total versions: 6
- Total maintainers: 1
proxy.golang.org: github.com/bluegreen-labs/phenocamr
- Homepage:
- Documentation: https://pkg.go.dev/github.com/bluegreen-labs/phenocamr#section-documentation
- Licenses: agpl-3.0
- Latest release: v1.1.4 (published almost 5 years ago)
- Last Synced: 2025-04-25T13:00:59.792Z (2 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent packages count: 6.999%
- Average: 8.173%
- Dependent repos count: 9.346%
cran.r-project.org: phenocamr
Facilitates 'PhenoCam' Data Access and Time Series Post-Processing
- Homepage: https://github.com/bluegreen-labs/phenocamr
- Documentation: http://cran.r-project.org/web/packages/phenocamr/phenocamr.pdf
- Licenses: AGPL-3
- Latest release: 1.1.5 (published almost 3 years ago)
- Last Synced: 2025-04-25T13:01:04.714Z (2 days ago)
- Versions: 5
- Dependent Packages: 0
- Dependent Repositories: 2
- Downloads: 327 Last month
-
Rankings:
- Forks count: 7.383%
- Stargazers count: 11.875%
- Average: 17.871%
- Dependent repos count: 19.546%
- Downloads: 22.697%
- Dependent packages count: 27.852%
- Maintainers (1)
Dependencies
- actions/cache v2 composite
- actions/checkout v2 composite
- actions/upload-artifact main composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- JamesIves/github-pages-deploy-action v4.4.1 composite
- actions/checkout v3 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
- actions/cache v2 composite
- actions/checkout v2 composite
- r-lib/actions/setup-pandoc v1 composite
- r-lib/actions/setup-r v1 composite
- R >= 3.6 depends
- MODISTools * imports
- changepoint * imports
- daymetr * imports
- graphics * imports
- httr * imports
- jsonlite * imports
- memoise * imports
- stats * imports
- utils * imports
- zoo * imports
- DT * suggests
- covr * suggests
- knitr * suggests
- leaflet * suggests
- plotly * suggests
- rmarkdown * suggests
- shiny * suggests
- shinydashboard * suggests
- testthat * suggests
Score: 10.704367432898955