What are SIMs? | Implementation in R | Validation | References
Package: simodels 0.2.1
simodels: Flexible Framework for Developing Spatial Interaction Models
Develop spatial interaction models (SIMs). SIMs predict the amount of interaction, for example number of trips per day, between geographic entities representing trip origins and destinations. Contains functions for creating origin-destination datasets from geographic input datasets and calculating movement between origin-destination pairs with constrained, production-constrained, and attraction-constrained models (Wilson 1979) <doi:10.1068/a030001>.
Authors:
simodels_0.2.1.tar.gz
simodels_0.2.1.zip(r-4.7-any)simodels_0.2.1.zip(r-4.6-any)simodels_0.2.1.zip(r-4.5-any)
simodels_0.2.1.tgz(r-4.6-any)simodels_0.2.1.tgz(r-4.5-any)
simodels_0.2.1.tar.gz(r-4.7-any)simodels_0.2.1.tar.gz(r-4.6-any)
simodels_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
simodels/json (API)
| # Install 'simodels' in R: |
| install.packages('simodels', repos = c('https://robinlovelace.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/robinlovelace/simodels/issues
Pkgdown/docs site:https://robinlovelace.github.io
Datasets:
- destinations_york - Example destinations dataset: schools in York
- od_aus - Example OD dataset: flows between regions in Australia
- si_centroids - Example zones and centroids
- si_oa_wpz - Origin-Destination Data for Leeds
- si_oa_wpz_d - Destination Data for Leeds
- si_oa_wpz_o - Origin Data for Leeds
- si_od_census - Example OD dataset
- si_pubs - Example destinations dataset: pubs in Leeds
- si_zones - Example zones and centroids
- zones_aus - Example zones dataset: regions of Australia
- zones_york - Example zones dataset: administrative zones of York
Last updated from:3dda2512cd. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 174 | ||
| source / vignettes | OK | 234 | ||
| linux-release | OK | 142 | ||
| macos-release | OK | 190 | ||
| macos-oldrel | OK | 201 | ||
| windows-devel | OK | 99 | ||
| windows-release | OK | 115 | ||
| windows-oldrel | OK | 113 | ||
| wasm-release | OK | 184 |
Exports:si_calculatesi_predictsi_to_od
Dependencies:classclassIntcliDBIdplyre1071genericsgeodistgeometriesglueKernSmoothlifecyclemagrittrodpillarpkgconfigproxyR6Rcpprlangs2sfsfheaderstibbletidyselectunitsutf8vctrswithrwk
An introduction to spatial interaction models: from first principles
Last update: 2025-03-07
Started: 2022-04-16
Spatial interaction models with R
Prerequisites | Input data | Preparing a SIM | An unconstrained SIM | A production constrained SIM | Training a SIM | References
Last update: 2024-07-23
Started: 2022-06-13
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Example destinations dataset: schools in York | destinations_york |
| Example OD dataset: flows between regions in Australia | od_aus |
| Calculate flow using a pre-existing function | si_calculate |
| Origin-Destination Data for Leeds | si_oa_wpz |
| Destination Data for Leeds | si_oa_wpz_d |
| Origin Data for Leeds | si_oa_wpz_o |
| Example OD dataset | si_od_census |
| Predict spatial interaction based on pre-trained model | si_predict |
| Example destinations dataset: pubs in Leeds | si_pubs |
| Prepare OD data frame | si_to_od |
| Example zones and centroids | si_centroids si_zones |
| Example zones dataset: regions of Australia | zones_aus |
| Example zones dataset: administrative zones of York | zones_york |