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phenocamr: Facilitates 'PhenoCam' Data Access and Time Series
Post-Processing
Programmatic interface to the 'PhenoCam' web services (<https://phenocam.nau.edu/webcam>).
Allows for easy downloading of 'PhenoCam' data directly to your R workspace
or your computer and provides post-processing routines for consistent and easy
timeseries outlier detection, smoothing and estimation of phenological transition dates.
Methods for this package are described in detail in Hufkens et. al (2018) <doi:10.1111/2041-210X.12970>.
| Version: |
1.1.5 |
| Depends: |
R (≥ 3.6) |
| Imports: |
jsonlite, changepoint, httr, zoo, utils, graphics, stats, memoise, daymetr, MODISTools |
| Suggests: |
shiny, covr, testthat, knitr, rmarkdown, shinydashboard, leaflet, plotly, DT |
| Published: |
2022-07-20 |
| DOI: |
10.32614/CRAN.package.phenocamr |
| Author: |
Koen Hufkens 
[aut, cre],
BlueGreen Labs [cph, fnd] |
| Maintainer: |
Koen Hufkens <koen.hufkens at gmail.com> |
| BugReports: |
https://github.com/bluegreen-labs/phenocamr/issues |
| License: |
AGPL-3 |
| URL: |
https://github.com/bluegreen-labs/phenocamr |
| NeedsCompilation: |
no |
| Citation: |
phenocamr citation info |
| CRAN checks: |
phenocamr results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=phenocamr
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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