Provided by: grass-doc_7.8.7-1_all bug

NAME

       v.net.steiner  - Creates Steiner tree for the network and given terminals.
       Note  that  ’Minimum  Steiner  Tree’ problem is NP-hard and heuristic algorithm is used in
       this module so the result may be sub optimal.

KEYWORDS

       vector, network, steiner tree

SYNOPSIS

       v.net.steiner
       v.net.steiner --help
       v.net.steiner     [-g]     input=name     output=name       [arc_type=string[,string,...]]
       [arc_layer=string]       [node_layer=string]      [acolumn=string]     terminal_cats=range
       [npoints=integer]   [--overwrite]  [--help]  [--verbose]  [--quiet]  [--ui]

   Flags:
       -g
           Use geodesic calculation for longitude-latitude locations

       --overwrite
           Allow output files to overwrite existing files

       --help
           Print usage summary

       --verbose
           Verbose module output

       --quiet
           Quiet module output

       --ui
           Force launching GUI dialog

   Parameters:
       input=name [required]
           Name of input vector map
           Or data source for direct OGR access

       output=name [required]
           Name for output vector map

       arc_type=string[,string,...]
           Arc type
           Input feature type
           Options: line, boundary
           Default: line,boundary

       arc_layer=string
           Arc layer
           Vector features can have category values in different layers. This  number  determines
           which layer to use. When used with direct OGR access this is the layer name.
           Default: 1

       node_layer=string
           Node layer (used for terminals)
           Vector  features  can have category values in different layers. This number determines
           which layer to use. When used with direct OGR access this is the layer name.
           Default: 2

       acolumn=string
           Arcs’ cost column (for both directions)

       terminal_cats=range [required]
           Category values
           Categories of points on terminals (layer is specified by nlayer)

       npoints=integer
           Number of Steiner points (-1 for all possible)
           Default: -1

DESCRIPTION

       v.net.steiner calculates the optimal connection of nodes on a vector network.

       A Steiner tree is used to calculate the minimum-cost vector network connecting some number
       of  end  nodes  in  a  network  framework.   For example it could be used to find the path
       following a road system which will minimize the amount of  fibre  optic  cable  needed  to
       connect a series of satellite offices.

       Costs may be either line lengths, or attributes saved in a database table. These attribute
       values are taken as costs of whole segments, not as costs to traverse a length unit  (e.g.
       meter)  of  the  segment.   For  example,  if  the  speed limit is 100 km / h, the cost to
       traverse a 10 km long road segment must be calculated as length / speed =  10  km  /  (100
       km/h)  = 0.1 h.  Supported are cost assignments for both arcs and nodes.  For areas, costs
       will be calculated along boundary lines.

       Points representing nodes must be exactly on network nodes, and the input vector map needs
       to be prepared with v.net operation=connect.

NOTES

       Current  implementation  of obtaining Steiner tree is not memory efficient.  An attempt to
       run module on a network with large number of intersections thus might result in failure to
       allocate memory or out of memory condition.

EXAMPLE

       Steiner tree for 6 digitized nodes (Spearfish):

       Shortest path, along unimproved roads:

       Fastest path, along highways:

       # Spearfish
       g.copy vect=roads,myroads
       # we have 6 locations to allocate
       echo "1|601653.5|4922869.2|a
       2|608284|4923776.6|b
       3|601845|4914981.9|c
       4|596270|4917456.3|d
       5|593330.8|4924096.6|e
       6|598005.5|4921439.2|f" | v.in.ascii in=- cat=1 x=2 y=3 out=centers col="cat integer, \
                                east double precision, north double precision, label varchar(43)"
       v.db.select centers
       v.category centers op=report
       # type       count        min        max
       # point          6          1          6
       # create lines map connecting points to network (on layer 2)
       v.net myroads points=centers out=myroads_net op=connect thresh=500
       # set up costs as traveling time
       # create unique categories for each road in layer 3
       v.category in=myroads_net out=myroads_net_time opt=add cat=1 layer=3 type=line
       # add new table for layer 3
       v.db.addtable myroads_net_time layer=3 col="cat integer,label varchar(43),length double precision,speed double precision,cost double precision"
       # copy road type to layer 3
       v.to.db myroads_net_time layer=3 qlayer=1 opt=query qcolumn=label columns=label
       # upload road length in miles
       v.to.db myroads_net_time layer=3 type=line option=length col=length unit=miles
       # set speed limits in miles / hour
       v.db.update myroads_net_time layer=3 col=speed val="5.0"
       v.db.update myroads_net_time layer=3 col=speed val="75.0" where="label=’interstate’"
       v.db.update myroads_net_time layer=3 col=speed val="75.0" where="label=’primary highway, hard surface’"
       v.db.update myroads_net_time layer=3 col=speed val="50.0" where="label=’secondary highway, hard surface’"
       v.db.update myroads_net_time layer=3 col=speed val="25.0" where="label=’light-duty road, improved surface’"
       v.db.update myroads_net_time layer=3 col=speed val="5.0" where="label=’unimproved road’"
       # define traveling costs as traveling time in minutes:
       v.db.update myroads_net_time layer=3 col=cost val="length / speed * 60"
       # shortest path
       v.net.steiner myroads_net_time arc_layer=3 node_layer=2 terminal_cats=1-6 out=mysteiner_distance
       # fastest path
       v.net.steiner myroads_net_time arc_layer=3 node_layer=2 acol=cost terminal_cats=1-6 out=mysteiner_time
       To display the result, run for example:
       # display the results
       g.region vector=myroads_net
       # shortest path
       d.mon x0
       d.vect myroads_net
       d.vect -c centers icon=basic/triangle
       d.font Vera
       d.vect centers col=red disp=attr attrcol=label lsize=12
       d.vect mysteiner_distance col=blue width=2
       # fastest path
       d.mon x1
       d.vect myroads_net
       d.vect -c centers icon=basic/triangle
       d.font Vera
       d.vect centers col=red disp=attr attrcol=label lsize=12
       d.vect mysteiner_time col=blue width=2

SEE ALSO

       d.path, v.net, v.net.alloc, v.net.iso, v.net.path, v.net.salesman

AUTHOR

       Radim Blazek, ITC-Irst, Trento, Italy
       Documentation: Markus Neteler, Markus Metz

SOURCE CODE

       Available at: v.net.steiner source code (history)

       Accessed: unknown

       Main index | Vector index | Topics index | Keywords index | Graphical index | Full index

       © 2003-2022 GRASS Development Team, GRASS GIS 7.8.7 Reference Manual