xyt_data

Example spatiotemporal point data
of a part of San Francisco City,
California, US

datasets

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

xyt_data function

A matrix containing three variables<ul>
<li>x: x coordinate</li>
<li>y: y coordinate</li>
<li>t: t time</li>
</ul>

xyt_data: Spatiotemporal point data

Description

Usage

Arguments

Format