phenofit: Extract Remote Sensing Vegetation Phenology

The merits of 'TIMESAT' and 'phenopix' are adopted. Besides, a simple and growing season dividing method and a practical snow elimination method based on Whittaker were proposed. 7 curve fitting methods and 4 phenology extraction methods were provided. Parameters boundary are considered for every curve fitting methods according to their ecological meaning. And 'optimx' is used to select best optimization method for different curve fitting methods.

Version: 0.2.3
Depends: R (≥ 3.1)
Imports: Rcpp, tibble, dplyr, purrr, stringr, tidyr, ggplot2, lubridate, data.table, spam, grid, gridExtra, magrittr, plyr, reshape2, zoo, readr, optimx, ucminf, numDeriv, grDevices, utils, stats, shiny, jsonlite, DT, foreach, iterators
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat
Published: 2019-05-23
Author: Dongdong Kong [aut, cre], Mingzhong Xiao [aut], Yongqiang Zhang [aut], Xihui Gu [aut], Jianjian Cui [aut]
Maintainer: Dongdong Kong <kongdd.sysu at gmail.com>
BugReports: https://github.com/kongdd/phenofit/issues
License: GPL-2 | file LICENSE
URL: https://github.com/kongdd/phenofit
NeedsCompilation: yes
Materials: NEWS
CRAN checks: phenofit results

Downloads:

Reference manual: phenofit.pdf
Package source: phenofit_0.2.3.tar.gz
Windows binaries: r-devel: phenofit_0.2.0.zip, r-release: phenofit_0.2.0.zip, r-oldrel: phenofit_0.2.0.zip
OS X binaries: r-release: phenofit_0.2.0.tgz, r-oldrel: phenofit_0.2.0.tgz
Old sources: phenofit archive

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