st_network_join | R Documentation |
A spatial network specific join function which makes a spatial full join on
the geometries of the nodes data. Edge data are combined using a
bind_rows
semantic, meaning that data are matched by
column name and values are filled with NA
if missing in either of
the networks. The from
and to
columns in the edge data are
updated such that they match the new node indices of the resulting network.
st_network_join(x, y, ...)
x |
An object of class |
y |
An object of class |
... |
Arguments passed on to |
The joined networks as an object of class sfnetwork
.
By default sfnetworks rounds coordinates to 12 decimal places to
determine spatial equality. You can influence this behavior by explicitly
setting the precision of the networks using
st_set_precision
.
library(sf, quietly = TRUE)
oldpar = par(no.readonly = TRUE)
par(mar = c(1,1,1,1), mfrow = c(1,2))
# Create two networks.
n1 = st_point(c(0, 0))
n2 = st_point(c(1, 0))
n3 = st_point(c(1,1))
n4 = st_point(c(0,1))
e1 = st_sfc(st_linestring(c(n1, n2)))
e2 = st_sfc(st_linestring(c(n2, n3)))
e3 = st_sfc(st_linestring(c(n3, n4)))
neta = as_sfnetwork(c(e1, e2))
netb = as_sfnetwork(c(e2, e3))
# Join the networks based on spatial equality of nodes.
net = st_network_join(neta, netb)
net
# Plot.
plot(neta, pch = 15, cex = 2, lwd = 4)
plot(netb, col = "orange", pch = 18, cex = 2, lty = 3, lwd = 4, add = TRUE)
plot(net, cex = 2, lwd = 4)
par(oldpar)
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