maxLagMissVal

This function computes the maximum amount of consecutive missing values in a vector.
This quantity is also known as maximum lag, run, or record, and can be used as a
rough estimate of the quality of a dataset.

Provides functions and methods for: splitting large raster objects
into smaller chunks, transferring images from a binary format into raster
layers, transferring raster layers into an 'RData' file, calculating the
maximum gap (amount of consecutive missing values) of a numeric vector,
and fitting harmonic regression models to periodic time series. The homoscedastic
harmonic regression model is based on G. Roerink, M. Menenti and W. Verhoef (2000) <doi:10.1080/014311600209814>.

Inder Tecuapetla-G<c3><b3>mez

geoTS

Methods for Handling and Analyzing Time Series of Satellite
Images

Inder Tecuapetla-Gómez

maxLagMissVal function

<dl><dt>x</dt>
<dd>numeric vector.</dd>
<dt>type</dt>
<dd>character specifying the type of missing value to consider. Default is 
<code>type="NA"</code>; when <code>type="numeric"</code>, <code>value</code> must be provided.</dd>
<dt>value</dt>
<dd>numeric giving a figure to be used to fill missing values; often as part
of a pre-processing, missing values in a dataset (vector, time series, etc.)
are fill in with pre-established values.</dd></dl>

Arguments

Get maximum lag of missing values — maxLagMissVal

<dl>

<dt>x</dt>
<dd>numeric vector.</dd>


<dt>type</dt>
<dd>character specifying the type of missing value to consider. Default is 
<code>type="NA"</code>; when <code>type="numeric"</code>, <code>value</code> must be provided.</dd>


<dt>value</dt>
<dd>numeric giving a figure to be used to fill missing values; often as part
of a pre-processing, missing values in a dataset (vector, time series, etc.)
are fill in with pre-established values.</dd>

</dl>

maxLagMissVal: Get maximum lag of missing values

Description

Usage

Value

Arguments

See Also

Examples