plot_phenofit

<code>phenofit</code> object, list(INPUT, fit, seasons)

one of c("season", "fitting", "pheno", "all")

type

fine fitting functions, e.g., <code>c("AG", "Zhang", "Beck", "Elmore", "Gu")</code>

methods

title

String, title of <code>xlab</code> and <code>ylab</code>.

ylab

boolean. If false, a ggplot object will be returned.

IsPlot

If now show legend, ggplot object will be returned, else
grid object will be returned.

show.legend

boolean, whether draw figure in a new page?

newpage

other parameters to <code><a rd-options="=plot_curvefits" href="/link/plot_curvefits()?package=phenofit&version=0.3.2&to=%3Dplot_curvefits" data-mini-rdoc="=plot_curvefits::plot_curvefits()">plot_curvefits()</a></code>

internal

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:
Kong, D., (2020). R package: A state-of-the-art Vegetation Phenology extraction
package, phenofit version 0.3.1, <doi:10.5281/zenodo.5150204>;
Kong, D., Zhang, Y., Wang, D., Chen, J., & Gu, X. (2020). Photoperiod Explains
the Asynchronization Between Vegetation Carbon Phenology and Vegetation Greenness
Phenology. Journal of Geophysical Research: Biogeosciences, 125(8), e2020JG005636.
<doi:10.1029/2020JG005636>;
Kong, D., Zhang, Y., Gu, X., & Wang, D. (2019). A robust method for reconstructing
global MODIS EVI time series on the Google Earth Engine.
ISPRS Journal of Photogrammetry and Remote Sensing, 155, 13–24;
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 (1982–2013).
Agric. For. Meteorol. 248, 408–417. <doi:10.1016/j.agrformet.2017.10.026>.

Dongdong Kong

phenofit

Extract Remote Sensing Vegetation Phenology

Mingzhong Xiao

Yongqiang Zhang

Xihui Gu

Jianjian Cui

plot_phenofit function

<dl><dt>obj</dt>
<dd><code>phenofit</code> object, list(INPUT, fit, seasons)</dd>
<dt>type</dt>
<dd>one of c("season", "fitting", "pheno", "all")</dd>
<dt>methods</dt>
<dd>fine fitting functions, e.g., <code>c("AG", "Zhang", "Beck", "Elmore", "Gu")</code></dd>
<dt>title</dt>
<dd>String, title of figure.</dd>
<dt>ylab</dt>
<dd>String, title of <code>xlab</code> and <code>ylab</code>.</dd>
<dt>IsPlot</dt>
<dd>boolean. If false, a ggplot object will be returned.</dd>
<dt>show.legend</dt>
<dd>If now show legend, ggplot object will be returned, else
grid object will be returned.</dd>
<dt>newpage</dt>
<dd>boolean, whether draw figure in a new page?</dd>
<dt>...</dt>
<dd>other parameters to <code>plot_curvefits()</code></dd></dl>

Arguments

plot_phenofit — plot_phenofit

<dl>

<dt>obj</dt>
<dd><code>phenofit</code> object, list(INPUT, fit, seasons)</dd>


<dt>type</dt>
<dd>one of c("season", "fitting", "pheno", "all")</dd>


<dt>methods</dt>
<dd>fine fitting functions, e.g., <code>c("AG", "Zhang", "Beck", "Elmore", "Gu")</code></dd>


<dt>title</dt>
<dd>String, title of figure.</dd>


<dt>ylab</dt>
<dd>String, title of <code>xlab</code> and <code>ylab</code>.</dd>


<dt>IsPlot</dt>
<dd>boolean. If false, a ggplot object will be returned.</dd>


<dt>show.legend</dt>
<dd>If now show legend, ggplot object will be returned, else
grid object will be returned.</dd>


<dt>newpage</dt>
<dd>boolean, whether draw figure in a new page?</dd>


<dt>...</dt>
<dd>other parameters to <code>plot_curvefits()</code></dd>

</dl>

plot_phenofit: plot_phenofit

Description

Usage

Arguments