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:

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.