luukvdmeer
commented
4 years ago There is now a method for sfNetwork from stplanr (in develop):
library(sfnetworks)
library(stplanr)
sln = SpatialLinesNetwork(roxel)
sfn = as_sfnetwork(sln)It might not be as efficient as possible yet. It simply recreates the network with the @sl slot, and in addition takes the directedness from the @g slot.
Regarding dodgr: the dodgr network object are of class c("data.frame", "dodgr_streetnet"). So providing it to as_sfnetwork will try the data.frame method, which actually runs without errors because tidygraph supports data frames as input, but the result is not correct of course (it treats the first two columns as from and to). Instead, a function dodgr_to_sfnetwork could be used:
dodgr_to_sfnetwork = function(graph) {
requireNamespace("dodgr")
as_sfnetwork(
dodgr::dodgr_to_tidygraph(graph),
force = TRUE,
coords = c("x", "y"),
crs = 4326
)
}Then:
library(dodgr)
graph = weight_streetnet(hampi)
graph
#> geom_num edge_id from_id from_lon from_lat to_id to_lon
#> 1 1 1 339318500 76.47489 15.34169 339318502 76.47612
#> 2 1 2 339318502 76.47612 15.34173 339318500 76.47489
#> 3 1 3 339318502 76.47612 15.34173 2398958028 76.47621
#> 4 1 4 2398958028 76.47621 15.34174 339318502 76.47612
#> 5 1 5 2398958028 76.47621 15.34174 1427116077 76.47628
#> 6 1 6 1427116077 76.47628 15.34179 2398958028 76.47621
#> to_lat d d_weighted highway way_id component
#> 1 15.34173 132.442169 147.15797 unclassified 28565950 1
#> 2 15.34169 132.442169 147.15797 unclassified 28565950 1
#> 3 15.34174 8.888670 9.87630 unclassified 28565950 1
#> 4 15.34173 8.888670 9.87630 unclassified 28565950 1
#> 5 15.34179 9.326536 10.36282 unclassified 28565950 1
#> 6 15.34174 9.326536 10.36282 unclassified 28565950 1
#> time time_weighted
#> 1 31.786121 35.317912
#> 2 31.786121 35.317912
#> 3 2.133281 2.370312
#> 4 2.133281 2.370312
#> 5 2.238369 2.487076
#> 6 2.238369 2.487076
dodgr_to_sfnetwork(graph)
#> # An sfnetwork with 2926 nodes and 5973 edges
#> #
#> # CRS: EPSG:4326
#> #
#> # A directed simple graph with 3 components and spatially implicit edges
#> #
#> # Node Data: 2,926 x 4 (active)
#> # Geometry type: POINT
#> # Dimension: XY
#> # Bounding box: xmin: 76.37263 ymin: 15.30107 xmax: 76.60668 ymax:
#> # 15.40121
#> name component n geometry
#> <chr> <int> <dbl> <POINT [°]>
#> 1 339318500 1 0 (76.47489 15.34169)
#> 2 339318502 1 1 (76.47612 15.34173)
#> 3 2398958028 1 2 (76.47621 15.34174)
#> 4 1427116077 1 3 (76.47628 15.34179)
#> 5 339318503 1 4 (76.47641 15.3419)
#> 6 2398958034 1 5 (76.4765 15.34199)
#> # … with 2,920 more rows
#> #
#> # Edge Data: 5,973 x 11
#> from to weight d_weighted time time_weighted xfr yfr xto
#> <int> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 2 132. 147. 31.8 35.3 76.5 15.3 76.5
#> 2 2 1 132. 147. 31.8 35.3 76.5 15.3 76.5
#> 3 2 3 8.89 9.88 2.13 2.37 76.5 15.3 76.5
#> # … with 5,970 more rows, and 2 more variables: yto <dbl>,
#> # component <int>In dodgr there are more of such conversion functions, like dodgr_to_igraph, dodgr_to_tidygraph etc. I think dodgr_to_sfnetwork would therefore fit better as part of dodgr (when we have a more stable version of the package of course).
Regarding linnet:
At the moment it's possible to convert a linnet object to an sf object and then apply the usual methods.
@agila do you remember which function?
agila5
Robinlovelace
Is your feature request related to a problem? Please describe. Right now, you can already convert a lot of graph objects to an sfnetwork object, if 1) they are a
tbl_graphor can be converted to atbl_graphwithas_tbl_graphAND 2) at least the nodes can be converted to ansfobject withst_as_sf. Theas_tbl_graphfunction supports a large amount of graph data structures in R.However, in
sfnetworkwe also want to support the most important spatial network data structures that already exist.Describe the solution you'd like More methods for
as_sfnetwork, addressing the most important spatial network data structures in R.An overview (this list will be updated):
tbl_graphfromtidygraphsffromsfsfcfromsfdodgr_streetnetfromdodgrSpatialLinesNetworkfromstplanrlinnetfromspatstat(https://rdrr.io/cran/spatstat/man/linnet.html).mgNetworkfromrmangalSpatialNetworkfromspnetwork@Robinlovelace @agila5 @loreabad6 and others, please feel free to add more classes in the comments!