global_min_max

Gets global minimum and maximum of a given function expression
on an interval using basic calculus criteria

Provides functions and methods for estimating phenological dates (green up,
start of a season, maturity, senescence, end of a season and dormancy) from (nearly)
periodic Earth Observation time series. These dates are critical points of some
derivatives of an idealized curve which, in turn, is obtained through a functional principal
component analysis-based regression model. Some of the methods implemented here are
based on T. Krivobokova, P. Serra and F. Rosales (2022) <https://www.sciencedirect.com/science/article/pii/S0167947322000998>.
Methods for handling and plotting Earth observation time series are also provided.

Inder Tecuapetla-G<c3><b3>mez

sephora

Statistical Estimation of Phenological Parameters

Inder Tecuapetla-Gómez

Fanny Galicia-Gómez

Francisco Rosales-Marticorena

global_min_max function

<dl><dt>f</dt>
<dd>function expression</dd>
<dt>f1der</dt>
<dd>function expression of first derivative of <code>f</code></dd>
<dt>f2der</dt>
<dd>function expression of second derivative of <code>f</code></dd>
<dt>D</dt>
<dd>numeric vector specifying the interval over which <code>f</code>
is optimized</dd></dl>

Arguments

Global minimum and maximum of a real-valued continuous function over a closed interval — global_min_max

<dl>

<dt>f</dt>
<dd>function expression</dd>


<dt>f1der</dt>
<dd>function expression of first derivative of <code>f</code></dd>


<dt>f2der</dt>
<dd>function expression of second derivative of <code>f</code></dd>


<dt>D</dt>
<dd>numeric vector specifying the interval over which <code>f</code>
is optimized</dd>

</dl>

global_min_max: Global minimum and maximum of a real-valued continuous function over a closed interval

Description

Usage

Value

Arguments

Details

See Also