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Create an sfnetwork

Source: R/sfnetworks.R
st_as_graph.Rd

Given an sf or sfc object and neighbor and weights lists, create an sfnetwork object.

Usage

st_as_graph(x, nb, wt)

# S3 method for sf
st_as_graph(x, nb, wt)

# S3 method for sfc
st_as_graph(x, nb, wt)

Arguments

x

object of class sf or sfc.

nb

a neighbor list. If x is class sf, the unquote named of the column. If x is class sfc, an object of class nb as created from st_contiguity().

wt

optional. A weights list as generated by st_weights(). . If x is class sf, the unquote named of the column. If x is class sfc, the weights list itself.

Value

an sfnetwork object

See also

st_as_nodes() and st_as_edges()

Examples


if (requireNamespace("dplyr", quietly = TRUE)) {
library(magrittr)

guerry_nb %>%
  st_as_graph(nb, wt)
}
#> Checking if spatial network structure is valid...
#> Spatial network structure is valid
#> # A sfnetwork with 85 nodes and 420 edges
#> #
#> # CRS:  NA 
#> #
#> # An undirected multigraph with 1 component with spatially explicit edges
#> #
#> # A tibble: 85 × 30
#>   i     code_dept count ave_id_geo  dept region department crime_pers crime_prop
#>   <chr> <fct>     <dbl>      <dbl> <int> <fct>  <fct>           <int>      <int>
#> 1 1     01            1         49     1 E      Ain             28870      15890
#> 2 2     02            1        812     2 N      Aisne           26226       5521
#> 3 3     03            1       1418     3 C      Allier          26747       7925
#> 4 4     04            1       1603     4 E      Basses-Al…      12935       7289
#> 5 5     05            1       1802     5 E      Hautes-Al…      17488       8174
#> 6 6     07            1       2249     7 S      Ardeche          9474      10263
#> # ℹ 79 more rows
#> # ℹ 21 more variables: literacy <int>, donations <int>, infants <int>,
#> #   suicides <int>, main_city <ord>, wealth <int>, commerce <int>,
#> #   clergy <int>, crime_parents <int>, infanticide <int>,
#> #   donation_clergy <int>, lottery <int>, desertion <int>, instruction <int>,
#> #   prostitutes <int>, distance <dbl>, area <int>, pop1831 <dbl>,
#> #   geometry <POINT>, nb <nb>, wt <list>
#> #
#> # A tibble: 420 × 6
#>    from    to i     j        wt                             geometry
#>   <int> <int> <chr> <chr> <dbl>                         <LINESTRING>
#> 1     1    36 1     36     0.25   (827911.9 2122906, 855919 2037343)
#> 2     1    37 1     37     0.25 (827911.9 2122906, 862938.6 2202980)
#> 3     1    67 1     67     0.25 (827911.9 2122906, 776985.9 2100624)
#> # ℹ 417 more rows