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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 |
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 |
Reference manual: | phenocamr.pdf |
Vignettes: |
phenocamr functionality |
Package source: | phenocamr_1.1.5.tar.gz |
Windows binaries: | r-devel: phenocamr_1.1.5.zip, r-release: phenocamr_1.1.5.zip, r-oldrel: phenocamr_1.1.5.zip |
macOS binaries: | r-release (arm64): phenocamr_1.1.5.tgz, r-oldrel (arm64): phenocamr_1.1.5.tgz, r-release (x86_64): phenocamr_1.1.5.tgz, r-oldrel (x86_64): phenocamr_1.1.5.tgz |
Old sources: | phenocamr archive |
Reverse imports: | macleish |
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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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