stcs2

Provides a parametric function that describes the values of the linear
spatiotemporal autocorrelation up to desired lags.
For more details on the parametric spatiotemporal correlation structures see
section 2.3 and 2.4 in Papalexiou and Serinaldi (2020).

internal

Makes univariate, multivariate, or random fields simulations precise and simple. Just select the desired time series or random fields’ properties and it will do the rest. CoSMoS is based on the framework described in Papalexiou (2018, <doi:10.1016/j.advwatres.2018.02.013>), extended for random fields in Papalexiou and Serinaldi (2020, <doi:10.1029/2019WR026331>), and further advanced in Papalexiou et al. (2021, <doi:10.1029/2020WR029466>) to allow fine-scale space-time simulation of storms (or even cyclone-mimicking fields).

Kevin Shook

CoSMoS

Complete Stochastic Modelling Solution

Simon Michael Papalexiou

Francesco Serinaldi

Filip Strnad

Yannis Markonis

stcs2 function

<dl><dt>id</dt>
<dd>spatiotemporal correlation structure ID</dd>
<dt>arglist</dt>
<dd>list of additional arguments (t as time lag, s as spatial lag (distance), and stcs parameters)</dd></dl>

Arguments

SpatioTemporal Correlation Structure — stcs2

<dl>

<dt>id</dt>
<dd>spatiotemporal correlation structure ID</dd>


<dt>arglist</dt>
<dd>list of additional arguments (t as time lag, s as spatial lag (distance), and stcs parameters)</dd>

</dl>

stcs2: SpatioTemporal Correlation Structure

Description

Usage

Arguments

References