Package: stppSim 1.3.4

Monsuru Adepeju

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.tar.gz(r-4.5-noble)stppSim_1.3.4.tar.gz(r-4.4-noble)
stppSim_1.3.4.tgz(r-4.4-emscripten)stppSim_1.3.4.tgz(r-4.3-emscripten)
stppSim.pdf |stppSim.html
stppSim/json (API)
NEWS

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

Peer review:

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

17 exports 0.36 score 131 dependencies 5 scripts 482 downloads

Last updated 2 months agofrom:b0455aec67. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKAug 24 2024
R-4.5-linuxOKAug 24 2024

Exports:artif_spochull_polycompare_areasdate_checkerextract_coordsgtpmake_gridsNRepeatp_probpoly_testerpsim_artifpsim_realsnap_points_to_linesspace_restrictionstmstp_learnerwalker

Dependencies:abindbase64encbslibcachemchronclassclassIntclicodetoolscolorspacecowplotcpp11crosstalkdata.tableDBIdeldirdigestdoParalleldplyre1071evaluatefansifarverfastmapFNNfontawesomeforeachfsfuturefuture.applygenericsgeosphereggplot2globalsgluegoftestgstatgtablehighrhtmltoolshtmlwidgetsintervalsisobanditeratorsjquerylibjsonlitekernlabKernSmoothknitrkslabelinglatticelazyevalleafletleaflet.providerslifecyclelistenvlubridatemagrittrMASSMatrixmclustmcomemoisemgcvmimemisc3dmulticoolmunsellmvtnormnlmeotuSummaryparallellypillarpkgconfigplyrpngpolyclippracmaprogressrproxypurrrR6rappdirsrasterRColorBrewerRcppreshape2rlangrmarkdownrparts2sassscalessfsftimeSiMRivspspacetimesparrspatstatspatstat.dataspatstat.explorespatstat.geomspatstat.linnetspatstat.modelspatstat.randomspatstat.sparsespatstat.univarspatstat.utilssplancsstarsstringistringrtensorterratibbletidyrtidyselecttimechangetinytexunitsutf8vctrsviridisLitewithrwkxfunxtsyamlzoo

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

Rendered fromstppSim-vignette.Rmdusingknitr::rmarkdownon Aug 24 2024.

Last update: 2024-07-25
Started: 2022-03-27