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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 ORCID iD [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:

Reference manual: phenocamr.pdf
Vignettes: phenocamr functionality

Downloads:

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 dependencies:

Reverse imports: macleish

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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