| sl2sg | R Documentation | 
This function is the major workhorse to map an input
SpatialLinesDataFrame, as defined in the package sp, into a
SpatialGraph by using the spatial connectivity. Input is first
exploded by using explodeSLDF, and then all vertices in the
SpatialGraph are automatically generated according to crossings
in the input polylines.
sl2sg(SL, clipd = NULL, getdist = TRUE, getpath = FALSE)
| SL | 
 | 
| clipd | distance threshold for clipping features, If NULL, a value of 1.0E-04 of the domain side size is used | 
| getdist | calculate the  | 
| getpath | calculate the  | 
A SpatialGraph is generated
A SpatialGraph
Javier Garcia-Pintado, e-mail: j.garcia-pintado@marum.de
  #  x   y
  # create list of Line objects
 if (1 > 2) {
  library(sp)
  library(SpatialGraph)
  zz <- list()
  zz[[1]] <- Line(matrix(
   c(661750, 4229150,
     662650, 4229450,
     663550, 4227650,
     663550, 4226850), ncol=2, byrow=TRUE))
  zz[[2]] <- Line(matrix(
   c(660250, 4229650,
     661050, 4226450,
     662550, 4225350,
     664850, 4225850,
     664650, 4229150,
     662350, 4228850), ncol=2, byrow=TRUE))
  # upgrade Line as Lines
  for (i in 1:length(zz)) {
    zz[[i]] <- Lines(list(zz[[i]]), ID=i)
  }
  # as SpatialLines
  SL <- sp::SpatialLines(zz)
  # as SpatialGraph including path calculation
  SG <- sl2sg(SL, getpath=TRUE) 
  plot(SL, axes=TRUE)  
  points(SG@v, cex=2)
  lines(SG@e, lwd=2)
  points(SG@v, cex=2, col='grey', pch=19)
  text(SG@v, labels=SG@v$ID)
  # label edges and directions
  textSGe(SG)
  # show a distance matrix between nodes
  SG@dist
  # show path from node 1 to 3
  SG@path[1,3]
 }
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