This package is considered a duplicate. The official version of this package is found at:https://luukvdmeer.r-universe.dev/sfnetworks

Package: sfnetworks 0.6.5

Lucas van der Meer

sfnetworks: Tidy Geospatial Networks

Provides a tidy approach to spatial network analysis, in the form of classes and functions that enable a seamless interaction between the network analysis package 'tidygraph' and the spatial analysis package 'sf'.

Authors:Lucas van der Meer [aut, cre], Lorena Abad [aut], Andrea Gilardi [aut], Robin Lovelace [aut]

sfnetworks_0.6.5.tar.gz
sfnetworks_0.6.5.tar.gz(r-4.5-noble)sfnetworks_0.6.5.tar.gz(r-4.4-noble)
sfnetworks_0.6.5.tgz(r-4.4-emscripten)sfnetworks_0.6.5.tgz(r-4.3-emscripten)
sfnetworks.pdf |sfnetworks.html✨
sfnetworks/json (API)
NEWS

# Install 'sfnetworks' in R:

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

Bug tracker:https://github.com/luukvdmeer/sfnetworks/issues23 issues

Pkgdown site:https://luukvdmeer.github.io

Datasets:

roxel - Road network of Münster Roxel

On CRAN:

5.39 score 6 packages 2.7k downloads 49 exports 41 dependencies

Last updated 4 months agofrom:a2a5f6b35b. Checks:3 OK. Indexed: no.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 06 2025
R-4.5-linux	OK	Mar 06 2025
R-4.4-linux	OK	Mar 06 2025

Exports:%>%activate active as_sfnetwork edge_azimuth edge_circuity edge_contains edge_contains_properly edge_covers edge_crosses edge_displacement edge_equals edge_intersects edge_is_covered_by edge_is_disjoint edge_is_within edge_is_within_distance edge_length edge_overlaps edge_touches is.sfnetwork node_equals node_intersects node_is_covered_by node_is_disjoint node_is_within node_is_within_distance node_M node_touches node_X node_Y node_Z sf_attr sfnetwork st_network_bbox st_network_blend st_network_cost st_network_join st_network_paths to_spatial_contracted to_spatial_directed to_spatial_explicit to_spatial_neighborhood to_spatial_shortest_paths to_spatial_simple to_spatial_smooth to_spatial_subdivision to_spatial_subset to_spatial_transformed

Dependencies:class classInt cli cpp11 crayon DBI dplyr e1071 fansi generics geometries glue igraph KernSmooth lattice lifecycle lwgeom magrittr MASS Matrix pillar pkgconfig proxy purrr R6 Rcpp rlang s2 sf sfheaders stringi stringr tibble tidygraph tidyr tidyselect units utf8 vctrs withr wk

The sfnetwork data structure

Rendered fromsfn01_structure.Rmdusingknitr::rmarkdownon Mar 06 2025.

Last update: 2024-12-06
Started: 2021-11-26

Network pre-processing and cleaning

Rendered fromsfn02_preprocess_clean.Rmdusingknitr::rmarkdownon Mar 06 2025.

Last update: 2024-12-06
Started: 2021-11-26

Spatial joins and filters

Rendered fromsfn03_join_filter.Rmdusingknitr::rmarkdownon Mar 06 2025.

Last update: 2024-12-06
Started: 2021-11-26

Routing

Rendered fromsfn04_routing.Rmdusingknitr::rmarkdownon Mar 06 2025.

Last update: 2024-12-06
Started: 2021-11-26

Spatial morphers

Rendered fromsfn05_morphers.Rmdusingknitr::rmarkdownon Mar 06 2025.

Last update: 2024-12-06
Started: 2021-11-26

Citation

To cite package ‘sfnetworks’ in publications use:

van der Meer L, Abad L, Gilardi A, Lovelace R (2024). sfnetworks: Tidy Geospatial Networks. R package version 0.6.5, https://CRAN.R-project.org/package=sfnetworks.

Corresponding BibTeX entry:

  @Manual{,
    title = {sfnetworks: Tidy Geospatial Networks},
    author = {Lucas {van der Meer} and Lorena Abad and Andrea Gilardi
      and Robin Lovelace},
    year = {2024},
    note = {R package version 0.6.5},
    url = {https://CRAN.R-project.org/package=sfnetworks},
  }

Readme and manuals

Tidy Geospatial Networks in R

sfnetworks is an R package for analysis of geospatial networks. It connects the functionalities of the tidygraph package for network analysis and the sf package for spatial data science.

Background

Geospatial networks are graphs embedded in geographical space. That means that both the nodes and edges in the graph can be represented as geographic features: the nodes most commonly as points, and the edges as linestrings. They play an important role in many different domains, ranging from transportation planning and logistics to ecology and epidemiology. The structure and characteristics of geospatial networks go beyond standard graph topology, and therefore it is crucial to explicitly take space into account when analyzing them.

We created sfnetworks to facilitate such an integrated workflow. It combines the forces of two popular R packages: sf for spatial data science and tidygraph for standard graph analysis. The core of the package is a dedicated data structure for geospatial networks, that can be provided as input to both the graph analytical functions of tidygraph as well as the spatial analytical functions of sf, without the need for conversion. Additionally, we implemented a set of geospatial network specific functions, such as routines for shortest path calculation, network cleaning and topology modification. sfnetworks is designed as a general-purpose package suitable for usage across different application domains, and can be seamlessly integrated in tidyverse workflows.

Installation

You can install the latest stable version of sfnetworks from CRAN with:

install.packages("sfnetworks")

You can install the development version from GitHub with:

remotes::install_github("luukvdmeer/sfnetworks")

Note: Two important dependencies of sfnetworks, the sf package for spatial data science and the igraph package for network analysis (which is the main "analysis backend" of tidygraph), require some low-level software libraries to be installed on your system. Depending on which operating system you use, this can mean that you have to install these system requirements first, before you can install sfnetworks. See the installation guides of sf and igraph for details.

Usage

The main goal of sfnetworks is to connect the tidygraph package for network analysis and the sf package for spatial data science. To make the most out of it, it is recommended to make yourself familiar with these two 'parent packages' if you don't know them yet.

There are currently five vignettes that guide you through the functionalities of sfnetworks:

(GIF (c) by Lore Abad)

Contribution

We look very much forward to contributions to the package. See the contributing guide for further details.

This project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

Acknowledgment

This project gratefully acknowledges financial support from the R Consortium.

Help Manual

Help page	Topics
Convert a foreign object to a sfnetwork	as_sfnetwork as_sfnetwork.default as_sfnetwork.linnet as_sfnetwork.psp as_sfnetwork.sf as_sfnetwork.sfc as_sfnetwork.sfNetwork as_sfnetwork.sfnetwork as_sfnetwork.tbl_graph
Extract the active element of a sfnetwork as spatial tibble	as_tibble as_tibble.sfnetwork
Convert a sfnetwork into a linnet	as.linnet as.linnet.sfnetwork
Plot sfnetwork geometries with ggplot2	autoplot autoplot.sfnetwork
Check if an object is a sfnetwork	is.sfnetwork
Query node coordinates	node_coordinates node_M node_X node_Y node_Z
Plot sfnetwork geometries	plot.sfnetwork
Road network of Münster Roxel	roxel
s2 methods for sfnetworks	as_s2_geography.sfnetwork s2
sf methods for sfnetworks	sf st_agr.sfnetwork st_agr<-.sfnetwork st_area.sfnetwork st_as_s2.sfnetwork st_as_sf.sfnetwork st_bbox.sfnetwork st_coordinates.sfnetwork st_crop.morphed_sfnetwork st_crop.sfnetwork st_crs.sfnetwork st_crs<-.sfnetwork st_difference.morphed_sfnetwork st_difference.sfnetwork st_drop_geometry.sfnetwork st_filter.morphed_sfnetwork st_filter.sfnetwork st_geometry.sfnetwork st_geometry<-.sfnetwork st_intersection.morphed_sfnetwork st_intersection.sfnetwork st_intersects.sfnetwork st_is.sfnetwork st_is_valid.sfnetwork st_join.morphed_sfnetwork st_join.sfnetwork st_m_range.sfnetwork st_nearest_points.sfnetwork st_normalize.sfnetwork st_precision.sfnetwork st_reverse.sfnetwork st_sample.sfnetwork st_set_precision.sfnetwork st_shift_longitude.sfnetwork st_simplify.sfnetwork st_transform.sfnetwork st_wrap_dateline.sfnetwork st_zm.sfnetwork st_z_range.sfnetwork
Query sf attributes from the active element of a sfnetwork	sf_attr
Create a sfnetwork	sfnetwork
Query spatial edge measures	edge_azimuth edge_circuity edge_displacement edge_length spatial_edge_measures
Query edges with spatial predicates	edge_contains edge_contains_properly edge_covers edge_crosses edge_equals edge_intersects edge_is_covered_by edge_is_disjoint edge_is_within edge_is_within_distance edge_overlaps edge_touches spatial_edge_predicates
Spatial morphers for sfnetworks	spatial_morphers to_spatial_contracted to_spatial_directed to_spatial_explicit to_spatial_neighborhood to_spatial_shortest_paths to_spatial_simple to_spatial_smooth to_spatial_subdivision to_spatial_subset to_spatial_transformed
Query nodes with spatial predicates	node_equals node_intersects node_is_covered_by node_is_disjoint node_is_within node_is_within_distance node_touches spatial_node_predicates
Get the bounding box of a spatial network	st_network_bbox
Blend geospatial points into a spatial network	st_network_blend
Compute a cost matrix of a spatial network	st_network_cost
Join two spatial networks based on equality of node geometries	st_network_join
Paths between points in geographical space	st_network_paths

Usage by other packages (reverse dependencies)