stppSim - Spatiotemporal Point Patterns Simulation
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.