R2_sign

<p>Number of predictor, including constant.</p>

NumberOfPredictor

alpha

<p>Critical value of determined correlation</p>


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.
Reference:
Dongdong Kong, R package: A state-of-the-art Vegetation Phenology extraction package,
phenofit version 0.2.3, <https://github.com/kongdd/phenofit>;
Zhang, Q., Kong, D., Shi, P., Singh, V.P., Sun, P., 2018. Vegetation phenology
on the Qinghai-Tibetan Plateau and its response to climate change (1982<e2><80><93>2013).
Agric. For. Meteorol. 248, 408<e2><80><93>417. <doi:10.1016/j.agrformet.2017.10.026>.

Dongdong Kong

phenofit

Extract Remote Sensing Vegetation Phenology

Jianjian Cui

Mingzhong Xiao

Yongqiang Zhang

Xihui Gu

R2_sign function

Critical value of determined correlation — R2_sign

Critical value of determined correlation

R2_sign: Critical value of determined correlation

Description

Usage

Arguments

Value

References

Examples