Package: simodels 0.2.0

Robin Lovelace

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:Robin Lovelace [aut, cre], Jakub Nowosad [aut]

simodels_0.2.0.tar.gz
simodels_0.2.0.tar.gz(r-4.5-noble)simodels_0.2.0.tar.gz(r-4.4-noble)
simodels_0.2.0.tgz(r-4.4-emscripten)simodels_0.2.0.tgz(r-4.3-emscripten)
simodels.pdf |simodels.html✨
simodels/json (API)
NEWS

# Install 'simodels' in R:

install.packages('simodels', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/robinlovelace/simodels/issues

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

3 exports 0.23 score 32 dependencies 11 scripts 294 downloads

Last updated 16 days agofrom:70dd8e7adf. Checks:OK: 1 NOTE: 1. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Aug 23 2024
R-4.5-linux	NOTE	Aug 23 2024

Exports:si_calculate si_predict si_to_od

Dependencies:class classInt cli DBI dplyr e1071 fansi generics geodist geometries glue KernSmooth lifecycle magrittr MASS od pillar pkgconfig proxy R6 Rcpp rlang s2 sf sfheaders tibble tidyselect units utf8 vctrs withr wk

An introduction to spatial interaction models: from first principles

Rendered fromsims-first-principles.Rmdusingknitr::rmarkdownon Aug 23 2024.

Last update: 2024-07-24
Started: 2022-06-15

Spatial interaction models with R

Rendered fromsimodels.Rmdusingknitr::rmarkdownon Aug 23 2024.

Last update: 2024-07-24
Started: 2022-06-15

Citation

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