smooth_spline

A general spatiotemporal satellite image imputation method based on sparse functional data analytic techniques. The imputation method applies and extends the Functional Principal Analysis by Conditional Estimation (PACE). The underlying idea for the proposed procedure is to impute a missing pixel by borrowing information from temporally and spatially contiguous pixels based on the best linear unbiased prediction.

Weicheng Zhu

stfit

Spatio-Temporal Functional Imputation Tool

smooth_spline function

<dl><dt>x</dt>
<dd>independent variable</dd>
<dt>y</dt>
<dd>response variable</dd>
<dt>x.eval</dt>
<dd>vector to predict on</dd>
<dt>minimum.num.obs</dt>
<dd>minimum number of observations needed to run the regression</dd>
<dt>...</dt>
<dd>other parameters to be passed to <code>smooth.spline</code> function</dd></dl>

Arguments

Smoothing spline regression — smooth_spline

<dl>

<dt>x</dt>
<dd>independent variable</dd>


<dt>y</dt>
<dd>response variable</dd>


<dt>x.eval</dt>
<dd>vector to predict on</dd>


<dt>minimum.num.obs</dt>
<dd>minimum number of observations needed to run the regression</dd>


<dt>...</dt>
<dd>other parameters to be passed to <code>smooth.spline</code> function</dd>

</dl>

smooth_spline: Smoothing spline regression

Description

Usage

Value

Arguments