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:
stppSim_1.3.4.tar.gz
stppSim_1.3.4.zip(r-4.5)stppSim_1.3.4.zip(r-4.4)stppSim_1.3.4.zip(r-4.3)
stppSim_1.3.4.tgz(r-4.4-any)stppSim_1.3.4.tgz(r-4.3-any)
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://manalytics.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/manalytics/stppsim/issues
- camden_crimes - Records of crimes of Camden Borough of London, UK, 2021
- poly - Boundary coordinates
- xyt_data - Spatiotemporal point data
- xyz - Xyz data
Last updated 7 months agofrom:68e623bbe3. Checks:7 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 20 2025 |
| R-4.5-win | OK | Jan 20 2025 |
| R-4.5-linux | OK | Jan 20 2025 |
| R-4.4-win | OK | Jan 20 2025 |
| R-4.4-mac | OK | Jan 20 2025 |
| R-4.3-win | OK | Jan 20 2025 |
| R-4.3-mac | OK | Jan 20 2025 |
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
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Artificial spatial origins | artif_spo |
| Records of crimes of Camden Borough of London, UK, 2021 (Source: https://data.police.uk/data/) | camden_crimes |
| Boundary surrounding a set of points | chull_poly |
| Compare two areas | compare_areas |
| Date (Format) Checker | date_checker |
| Coordinates extraction | extract_coords |
| Global temporal pattern (GTP) | gtp |
| Make square grids | make_grids |
| Near Repeat calculator using the Knox test | NRepeat |
| Proportional (probability) distribution | p_prob |
| Boundary coordinates | poly |
| Geometry and Coordinate Reference System test of a polygon | poly_tester |
| Stpp from synthetic origins | psim_artif |
| Stpp from real (sample) origins | psim_real |
| Snapping point to network | snap_points_to_lines |
| Space restriction raster map | space_restriction |
| Spatial and temporal model | stm |
| Learning the spatiotemporal properties of a sample data | stp_learner |
| A landscape walker | walker |
| Spatiotemporal point data | xyt_data |
| xyz data | xyz |
