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.html , phenocamr.pdf
Vignettes: phenocamr functionality (source, R code)

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.