Models the global temporal pattern,
as combining the long-term trend and seasonality.

Generates artificial point patterns marked by their
spatial and temporal signatures. The resulting point cloud
may exhibit inherent interactions between both signatures.
The simulation integrates microsimulation
(Holm, E., (2017)<doi:10.1002/9781118786352.wbieg0320>)
and agent-based models (Bonabeau, E., (2002)<doi:10.1073/pnas.082080899>),
beginning with the configuration of movement characteristics for
the specified agents (referred to as 'walkers') and their interactions
within the simulation environment. These interactions
(Quaglietta, L. and Porto, M., (2019)<doi:10.1186/s40462-019-0154-8>)
result in specific spatiotemporal patterns that can be visualized,
analyzed, and used for various analytical purposes.
Given the growing scarcity of detailed spatiotemporal data
across many domains, this package provides an alternative data source
for applications in social and life sciences.

Monsuru Adepeju

stppSim

Spatiotemporal Point Patterns Simulation

gtp function

<dl><dt>start_date</dt>
<dd>the start date of the temporal pattern.
The date should be in the format <code>"yyyy-mm-dd"</code>.
The GTP will normally cover a 1-year period.</dd>
<dt>trend</dt>
<dd>specifies the direction of the
long-term trend. Options are:
<code>"falling"</code>, <code>"stable"</code>,
and <code>"rising"</code>. Default value is: <code>"stable"</code>.</dd>
<dt>slope</dt>
<dd>slope of the long-term trend when
an <code>"rising"</code> or <code>"falling"</code> trend is specified.
Options: <code>"gentle"</code> or <code>"steep"</code>. The default value is
set as <code>NULL</code> for the <code>stable</code> trend.</dd>
<dt>shortTerm</dt>
<dd>type of short- to medium-term
fluctuations (patterns) of the time series.
Options are: <code>`"cyclical"` and `"acyclical"`</code>.
Default is: <code>`"cyclical"`</code>.</dd>
<dt>fPeak</dt>
<dd>first seasonal
peak of cyclical short term. Default value is <code>90</code>.
Set as <code>NULL</code> for <code>"acyclical"</code> short term pattern.</dd>
<dt>show.plot</dt>
<dd>(logical) Shows 'gtp'.
Default is <code>FALSE</code>.</dd></dl>

Arguments

Global temporal pattern (GTP) — gtp

<dl>

<dt>start_date</dt>
<dd>the start date of the temporal pattern.
The date should be in the format <code>"yyyy-mm-dd"</code>.
The GTP will normally cover a 1-year period.</dd>


<dt>trend</dt>
<dd>specifies the direction of the
long-term trend. Options are:
<code>"falling"</code>, <code>"stable"</code>,
and <code>"rising"</code>. Default value is: <code>"stable"</code>.</dd>


<dt>slope</dt>
<dd>slope of the long-term trend when
an <code>"rising"</code> or <code>"falling"</code> trend is specified.
Options: <code>"gentle"</code> or <code>"steep"</code>. The default value is
set as <code>NULL</code> for the <code>stable</code> trend.</dd>


<dt>shortTerm</dt>
<dd>type of short- to medium-term
fluctuations (patterns) of the time series.
Options are: <code>`"cyclical"` and `"acyclical"`</code>.
Default is: <code>`"cyclical"`</code>.</dd>


<dt>fPeak</dt>
<dd>first seasonal
peak of cyclical short term. Default value is <code>90</code>.
Set as <code>NULL</code> for <code>"acyclical"</code> short term pattern.</dd>


<dt>show.plot</dt>
<dd>(logical) Shows 'gtp'.
Default is <code>FALSE</code>.</dd>

</dl>

gtp: Global temporal pattern (GTP)

Description

Usage

Value

Arguments

Details

Examples