Example data
|
|
SpatialLinesNetwork-class
|
An S4 class representing a (typically) transport network |
|
SpatialLinesNetwork()
|
Create object of class SpatialLinesNetwork or sfNetwork |
|
angle_diff()
|
Calculate the angular difference between lines and a predefined bearing |
|
as_sf_fun()
|
Convert functions support sf/sp |
|
bbox_scale()
|
Scale a bounding box |
|
buff_geo()
|
Create a buffer of n metres for non-projected 'geographical' spatial data |
|
ca_local
|
SpatialPointsDataFrame representing road traffic deaths |
|
calc_catchment()
|
Calculate catchment area and associated summary statistics. |
|
calc_catchment_sum()
|
Calculate summary statistics for catchment area. |
|
calc_moving_catchment()
|
Calculate summary statistics for all features independently. |
|
calc_network_catchment()
|
Calculate catchment area and associated summary statistics using network. |
|
cents
|
Spatial points representing home locations |
|
crs_select_aeq()
|
Select a custom projected CRS for the area of interest |
|
decode_gl()
|
Decode Google polyline compressed string |
|
destination_zones
|
Example destinations data |
|
dist_google()
|
Return travel network distances and time using the Google Maps API |
|
dl_stats19()
|
Download Stats19 data |
|
find_network_nodes()
|
Find graph node ID of closest node to given coordinates |
|
flow
|
data frame of commuter flows |
|
flow_dests
|
data frame of invented
commuter flows with destinations in a different layer than the origins |
|
flowlines
|
spatial lines dataset of commuter flows |
|
format_stats19_ac()
|
Format UK 'Stats19' road traffic casualty data |
|
format_stats19_ca()
|
Format UK 'Stats19' road traffic casualty data |
|
format_stats19_ve()
|
Format UK 'Stats19' road traffic casualty data |
|
gclip()
|
Crops spatial object x to the bounding box of spatial object (or matrix) b |
|
geo_bb()
|
Flexible function to generate bounding boxes |
|
geo_bb_matrix()
|
Create matrix representing the spatial bounds of an object |
|
geo_buffer()
|
Perform a buffer operation on a temporary projected CRS |
|
geo_code()
|
Convert text strings into points on the map |
|
geo_length()
|
Calculate line length of line with geographic or projected CRS |
|
geo_projected()
|
Perform GIS functions on a temporary, projected version of a spatial object |
|
geo_select_aeq()
|
Select a custom projected CRS for the area of interest |
|
geo_toptail()
|
Clip the first and last n metres of SpatialLines |
|
gsection()
|
Function to split overlapping SpatialLines into segments |
|
gtfs2sldf()
|
Import GTFS shapes and route data to SpatialLinesDataFrame. |
|
is_linepoint()
|
Identify lines that are points |
|
islines()
|
Do the intersections between two geometries create lines? |
|
l_poly
|
Line polygon |
|
line2df()
|
Convert geographic line objects to a data.frame with from and to coords |
|
line2route()
|
Convert straight OD data (desire lines) into routes |
|
line2routeRetry()
|
Convert straight SpatialLinesDataFrame from flow data into routes retrying
on connection (or other) intermittent failures |
|
lineLabels()
|
Label SpatialLinesDataFrame objects |
|
line_bearing()
|
Find the bearing of straight lines |
|
line_length()
|
Calculate length of lines in geographic CRS |
|
line_match()
|
Match two sets of lines based on similarity |
|
line_midpoint()
|
Find the mid-point of lines |
|
line_sample()
|
Sample n points along lines with density proportional to a weight |
|
line_segment()
|
Divide SpatialLines dataset into regular segments |
|
line_to_points() line2pointsn()
|
Convert a SpatialLinesDataFrame to points
The number of points will be double the number of lines with line2points.
A closely related function, line2pointsn returns all the points that were line vertices.
The points corresponding with a given line, i, will be (2*i):((2*i)+1). |
|
line_via()
|
Add geometry columns representing a route via intermediary points |
|
locate2spdf()
|
Return SpatialPointsDataFrame with located points from OSRM locate service |
|
mapshape()
|
Simplify geometry of spatial objects with the mapshaper library |
|
mapshape_available()
|
Does the computer have mapshaper available? |
|
mats2line()
|
Convert 2 matrices to lines |
|
n_sample_length()
|
Sample integer number from given continuous vector of line lengths and probabilities, with total n |
|
n_vertices()
|
Retrieve the number of vertices from a SpatialLines or SpatialPolygons object |
|
nearest2spdf()
|
Return SpatialPointsDataFrame with nearest street from OSRM nearest service |
|
nearest_cyclestreets()
|
Generate nearest point on the route network of a point using the CycleStreets.net |
|
nearest_google()
|
Generate nearest point on the route network of a point using the Google Maps API |
|
nearest_osm()
|
Generate nearest point on the route network of a point from OSRM locate service |
|
od2line() od2line2()
|
Convert flow data to SpatialLinesDataFrame |
|
od2odf()
|
Extract coordinates from OD data |
|
od_aggregate()
|
Aggregate OD data between polygon geometries |
|
od_aggregate_from()
|
Summary statistics of trips originating from zones in OD data |
|
od_aggregate_to()
|
Summary statistics of trips arriving at destination zones in OD data |
|
od_coords()
|
Create matrices representing origin-destination coordinates |
|
od_coords2line()
|
Convert origin-destination coordinates into desire lines |
|
od_data_sample
|
Example of origin-destination data from UK Census |
|
od_dist()
|
Quickly calculate Euclidean distances of od pairs |
|
od_id_szudzik() od_id_max_min() od_id_character()
|
Combine two ID values to create a single ID number |
|
od_id_order()
|
Generate ordered ids of OD pairs so lowest is always first
This function is slow on large datasets, see szudzik_pairing for faster alternative |
|
od_oneway()
|
Aggregate od pairs they become non-directional |
|
od_radiation()
|
Function that estimates flow between points or zones using the radiation model |
|
od_to_odmatrix()
|
Convert origin-destination data from long to wide format |
|
odmatrix_to_od()
|
Convert origin-destination data from wide to long format |
|
onewaygeo()
|
Aggregate flows so they become non-directional (by geometry - the slow way) |
|
onewayid()
|
Aggregate ods so they become non-directional |
|
osm_net_example
|
Example of OpenStreetMap road network |
|
overline()
|
Convert series of overlapping lines into a route network |
|
overline2()
|
Convert series of overlapping lines into a route network (new method) |
|
overline_intersection()
|
Convert series of overlapping lines into a route network |
|
plot(<SpatialLinesNetwork>,<ANY>)
|
Plot a SpatialLinesNetwork |
|
plot(<sfNetwork>,<ANY>)
|
Plot an sfNetwork |
|
points2flow()
|
Convert a series of points into geographical flows |
|
points2line()
|
Convert a series of points, or a matrix of coordinates, into a line |
|
points2odf()
|
Convert a series of points into a dataframe of origins and destinations |
|
quadrant()
|
Split a spatial object into quadrants |
|
read_stats19_ac()
|
Import and format UK 'Stats19' road traffic casualty data |
|
read_stats19_ca()
|
Import and format UK 'Stats19' road traffic casualty data |
|
read_stats19_ve()
|
Import and format UK 'Stats19' road traffic casualty data |
|
read_table_builder()
|
Import and format Australian Bureau of Statistics (ABS) TableBuilder files |
|
reproject()
|
Reproject lat/long spatial object so that they are in units of 1m |
|
route()
|
Plan routes on the transport network |
|
route_cyclestreet()
|
Plan a single route with CycleStreets.net |
|
route_dodgr()
|
Route on local data using the dodgr package |
|
route_graphhopper()
|
Plan a route with the graphhopper routing engine |
|
route_local()
|
Plan a route with local data |
|
route_network
|
spatial lines dataset representing a route network |
|
route_osrm()
|
Plan a route with OSRM |
|
route_transportapi_public()
|
Plan a single route with TransportAPI.com |
|
routes_fast
|
spatial lines dataset of commuter flows on the travel network |
|
routes_slow
|
spatial lines dataset of commuter flows on the travel network |
|
sfNetwork-class
|
An S4 class representing a (typically) transport network |
|
sln2points()
|
Generate spatial points representing nodes on a SpatialLinesNetwork
or sfNetwork. |
|
sp_aggregate()
|
Aggregate SpatialPolygonsDataFrame to new geometry. |
|
stplanr-deprecated
|
Deprecated functions in stplanr |
|
stplanr-package
|
stplanr: Sustainable Transport Planning with R |
|
sum_network_links()
|
Summarise links from shortest paths data |
|
sum_network_routes()
|
Summarise shortest path between nodes on network |
|
summary(<SpatialLinesNetwork>)
|
Print a summary of a SpatialLinesNetwork |
|
summary(<sfNetwork>)
|
Print a summary of a sfNetwork |
|
table2matrix()
|
Return Matrix containing travel times between origins and destinations |
|
toptail_buff()
|
Clip the beginning and ends SpatialLines to the edge of SpatialPolygon borders |
|
toptailgs()
|
Clip the first and last n metres of SpatialLines |
|
update_line_geometry()
|
Update line geometry |
|
viaroute()
|
Query OSRM service and return json string result |
|
viaroute2sldf()
|
Convert json result of OSRM routing query to SpatialLinesDataFrame |
|
weightfield() `weightfield<-`() `weightfield<-`()
|
Get or set weight field in SpatialLinesNetwork |
|
writeGeoJSON()
|
Write to geojson easily |
|
zones
|
Spatial polygons of home locations for flow analysis. |
