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.
Version: 1.3.4 Depends: R (≥ 4.1.0) Imports: splancs, dplyr, tidyr, magrittr, sf, sp, ks, terra, raster, SiMRiv, data.table, tibble, stringr, lubridate, spatstat.geom, sparr, chron, ggplot2, geosphere, leaflet, methods, cowplot, gstat, otuSummary, progressr, future.apply Suggests: knitr, rmarkdown, graphics, grDevices, utils Published: 2024-07-24 DOI: 10.32614/CRAN.package.stppSim Author: Monsuru Adepeju [cre, aut] Maintainer: Monsuru Adepeju <monsuur2010 at yahoo.com> BugReports: https://github.com/Manalytics/stppSim/issues/new/choose License: GPL-3 URL: https://github.com/MAnalytics/stppSim NeedsCompilation: no Language: en-US Materials: README NEWS CRAN checks: stppSim results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=stppSim to link to this page.
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