Quickly calculate Euclidean distances of od pairs
It is common to want to know the Euclidean distance between origins and destinations
in OD data. You can calculate this by first converting OD data to SpatialLines data,
e.g. with od2line(). However this can be slow and overkill if you just
want to know the distance. This function is a few orders of magnitude faster.
od_dist(flow, zones)
flow |
A data frame representing origin-destination data.
The first two columns of this data frame should correspond
to the first column of the data in the zones. Thus in |
zones |
A spatial object representing origins (and destinations if no separate destinations object is provided) of travel. |
Note: this function assumes that the zones or centroids in cents have a geographic
(lat/lon) CRS.
Other od:
dist_google(),
od2line(),
od2odf(),
od_aggregate_from(),
od_aggregate_to(),
od_coords2line(),
od_coords(),
od_id,
od_oneway(),
od_to_odmatrix(),
odmatrix_to_od(),
points2flow(),
points2odf()
data(flow) data(cents) od_dist(flow, cents)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.