Package: stppSim 1.3.4

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.

Authors:Monsuru Adepeju [cre, aut]

stppSim_1.3.4.tar.gz
stppSim_1.3.4.zip(r-4.7)stppSim_1.3.4.zip(r-4.6)stppSim_1.3.4.zip(r-4.5)
stppSim_1.3.4.tgz(r-4.6-any)stppSim_1.3.4.tgz(r-4.5-any)
stppSim_1.3.4.tar.gz(r-4.7-any)stppSim_1.3.4.tar.gz(r-4.6-any)
stppSim_1.3.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
stppSim/json (API)
NEWS

# Install 'stppSim' in R:
install.packages('stppSim', repos = c('https://manalytics.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/manalytics/stppsim/issues

Datasets:
  • camden_crimes - Records of crimes of Camden Borough of London, UK, 2021
  • poly - Boundary coordinates
  • xyt_data - Spatiotemporal point data
  • xyz - Xyz data

On CRAN:

Conda:

4.30 score 4 stars 5 scripts 286 downloads 17 exports 129 dependencies

Last updated from:68e623bbe3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK302
source / vignettesOK268
linux-release-x86_64OK281
macos-release-arm64OK245
macos-oldrel-arm64OK320
windows-develOK290
windows-releaseOK281
windows-oldrelOK278
wasm-releaseOK150

Exports:artif_spochull_polycompare_areasdate_checkerextract_coordsgtpmake_gridsNRepeatp_probpoly_testerpsim_artifpsim_realsnap_points_to_linesspace_restrictionstmstp_learnerwalker

Dependencies:abindbase64encbslibcachemchronclassclassIntclicodetoolscowplotcpp11crosstalkdata.tableDBIdeldirdigestdoParalleldplyre1071evaluatefarverfastmapFNNfontawesomeforeachfsfuturefuture.applygenericsgeosphereggplot2globalsgluegoftestgstatgtablehighrhtmltoolshtmlwidgetsintervalsisobanditeratorsjquerylibjsonlitekernlabKernSmoothknitrkslabelinglatticelazyevalleafletleaflet.providerslifecyclelistenvlubridatemagrittrMASSMatrixmclustmcomemoisemgcvmimemisc3dmulticoolmvtnormnlmeotuSummaryparallellypillarpkgconfigplyrpngpolyclippracmaprogressrproxypurrrR6rappdirsrasterRColorBrewerRcppreshape2rlangrmarkdownrparts2S7sassscalessfsftimeSiMRivspspacetimesparrspatstatspatstat.dataspatstat.explorespatstat.geomspatstat.linnetspatstat.modelspatstat.randomspatstat.sparsespatstat.univarspatstat.utilssplancsstarsstringistringrtensorterratibbletidyrtidyselecttimechangetinytexunitsutf8vctrsviridisLitewithrwkxfunxtsyamlzoo

stppSim: An R package for synthesizing spatiotemporal point patterns - A user guide

| Adepeju, M. | Big Data Centre, Manchester Metropolitan University, Manchester, M15 6BH, UK | Author:

Rendered fromstppSim-vignette.Rmdusingknitr::rmarkdownon May 19 2026.

Last update: 2023-10-30
Started: 2022-03-07