Alias for dodgr_dists
dodgr_distances(graph, from, to, wt_profile = "bicycle", expand = 0, heap = "BHeap", parallel = TRUE, quiet = TRUE)
graph 


from  Vector or matrix of points from which route distances are to be calculated (see Details) 
to  Vector or matrix of points to which route distances are to be calculated (see Details) 
wt_profile  Name of weighting profile for street networks (one of foot, horse, wheelchair, bicycle, moped, motorcycle, motorcar, goods, hgv, psv). 
expand  Only when 
heap  Type of heap to use in priority queue. Options include
Fibonacci Heap (default; 
parallel  If 
quiet  If 
square matrix of distances between nodes
# A simple graph graph < data.frame (from = c ("A", "B", "B", "B", "C", "C", "D", "D"), to = c ("B", "A", "C", "D", "B", "D", "C", "A"), d = c (1, 2, 1, 3, 2, 1, 2, 1)) dodgr_dists (graph)#> A B C D #> A 0 1 2 3 #> B 2 0 1 2 #> C 2 2 0 1 #> D 1 2 2 0# A larger example from the included [hampi()] data. graph < weight_streetnet (hampi) from < sample (graph$from_id, size = 100) to < sample (graph$to_id, size = 50) d < dodgr_dists (graph, from = from, to = to) # d is a 100by50 matrix of distances between `from` and `to`# NOT RUN { # a more complex street network example, thanks to @chrijo; see # https://github.com/ATFutures/dodgr/issues/47 xy < rbind (c (7.005994, 51.45774), # limbeckerplatz 1 essen germany c (7.012874, 51.45041)) # hauptbahnhof essen germany xy < data.frame (lon = xy [, 1], lat = xy [, 2]) essen < dodgr_streetnet (pts = xy, expand = 0.2, quiet = FALSE) graph < weight_streetnet (essen, wt_profile = "foot") d < dodgr_dists (graph, from = xy, to = xy) # First reason why this does not work is because the graph has multiple, # disconnected components. table (graph$component) # reduce to largest connected component, which is always number 1 graph < graph [which (graph$component == 1), ] d < dodgr_dists (graph, from = xy, to = xy) # should work, but even then note that table (essen$level) # There are parts of the network on different building levels (because of # shopping malls and the like). These may or may not be connected, so it may be # necessary to filter out particular levels levs < paste0 (essen$level) # because sf data are factors index < which (! (levs == "1"  levs == "1")) # for example library (sf) # needed for following subselect operation essen < essen [index, ] graph < weight_streetnet (essen, wt_profile = "foot") d < dodgr_dists (graph, from = xy, to = xy) # }