Geometric unary operations on simple feature geometry sets

Geometric unary operations on simple feature geometries. These are all generics, with methods for sfg, sfc and sf objects, returning an object of the same class. All operations work on a per-feature basis, ignoring all other features.

Usage

st_buffer(
  x,
  dist,
  nQuadSegs = 30,
  endCapStyle = "ROUND",
  joinStyle = "ROUND",
  mitreLimit = 1,
  singleSide = FALSE,
  ...
)

st_boundary(x)

st_convex_hull(x)

st_concave_hull(x, ratio, ..., allow_holes)

st_simplify(x, preserveTopology, dTolerance = 0)

st_triangulate(x, dTolerance = 0, bOnlyEdges = FALSE)

st_triangulate_constrained(x)

st_inscribed_circle(x, dTolerance, ...)

st_minimum_rotated_rectangle(x, ...)

st_voronoi(x, envelope, dTolerance = 0, bOnlyEdges = FALSE, point_order = FALSE)

st_polygonize(x)

st_line_merge(x, ..., directed = FALSE)

st_centroid(x, ..., of_largest_polygon = FALSE)

st_point_on_surface(x)

st_reverse(x)

st_node(x)

st_segmentize(x, dfMaxLength, ...)

st_exterior_ring(x, ...)

Arguments

x

object of class sfg, sfc or sf

dist

numeric or object of class units; buffer distance for all, or for each of the elements in x. In case x has geodetic coordinates (lon/lat) and sf_use_s2() is TRUE, a numeric dist is taken as distance in meters and a units object in dist is converted to meters. In case x has geodetic coordinates (lon/lat) and sf_use_s2() is FALSE, a numeric dist is taken as degrees, and a units object in dist is converted to arc_degree (and warnings are issued). In case x does not have geodetic coordinates (projected) then numeric dist is assumed to have the units of the coordinates, and a units dist is converted to those if st_crs(x) is not NA.

nQuadSegs

integer; number of segments per quadrant (fourth of a circle), for all or per-feature; see details

endCapStyle

character; style of line ends, one of 'ROUND', 'FLAT', 'SQUARE'; see details

joinStyle

character; style of line joins, one of 'ROUND', 'MITRE', 'BEVEL'; see details

mitreLimit

numeric; limit of extension for a join if joinStyle 'MITRE' is used (default 1.0, minimum 0.0); see details

singleSide

logical; if TRUE, single-sided buffers are returned for linear geometries, in which case negative dist values give buffers on the right-hand side, positive on the left; see details

...

in st_buffer passed on to s2::s2_buffer_cells(), otherwise ignored

ratio

numeric; fraction convex: 1 returns the convex hulls, 0 maximally concave hulls

allow_holes

logical; if TRUE, the resulting concave hull may have holes

preserveTopology

logical; carry out topology preserving simplification? May be specified for each, or for all feature geometries. Note that topology is preserved only for single feature geometries, not for sets of them. If not specified (i.e. the default), then it is internally set equal to FALSE when the input data is specified with projected coordinates or sf_use_s2() returns FALSE. Ignored in all the other cases (with a warning when set equal to FALSE) since the function implicitly calls s2::s2_simplify which always preserve topological relationships (per single feature).

dTolerance

numeric; tolerance parameter, specified for all or for each feature geometry. If you run st_simplify, the input data is specified with long-lat coordinates and sf_use_s2() returns TRUE, then the value of dTolerance must be specified in meters.

bOnlyEdges

logical; if TRUE, return lines, else return polygons

envelope

object of class sfc or sfg containing a POLYGON with the envelope for a voronoi diagram; this only takes effect when it is larger than the default envelope, chosen when envelope is an empty polygon

directed

logical; if TRUE, lines with opposite directions will not be merged

of_largest_polygon

logical; for st_centroid: if TRUE, return centroid of the largest (sub)polygon of a MULTIPOLYGON rather than of the whole MULTIPOLYGON

dfMaxLength

maximum length of a line segment. If x has geographical coordinates (long/lat), dfMaxLength is either a numeric expressed in meter, or an object of class units with length units rad or degree; segmentation in the long/lat case takes place along the great circle, using st_geod_segmentize.

point_order

logical; preserve point order if TRUE and GEOS version >= 3.12; overrides bOnlyEdges

Value

an object of the same class of x, with manipulated geometry.

Details

st_buffer computes a buffer around this geometry/each geometry. Depending on the spatial coordinate system, a different engine (GEOS or S2) can be used, which have different function arguments. The nQuadSegs, endCapsStyle, joinStyle, mitreLimit and singleSide parameters only work if the GEOS engine is used (i.e. projected coordinates or when sf_use_s2() is set to FALSE). See postgis.net/docs/ST_Buffer.html for details. The max_cells and min_level parameters (s2::s2_buffer_cells()) work with the S2 engine (i.e. geographic coordinates) and can be used to change the buffer shape (e.g. smoothing). If a negative buffer returns empty polygons instead of shrinking, set sf_use_s2() to FALSE.

st_boundary returns the boundary of a geometry

st_convex_hull creates the convex hull of a set of points

st_concave_hull creates the concave hull of a geometry

st_simplify simplifies lines by removing vertices.

st_triangulate triangulates set of points (not constrained). st_triangulate requires GEOS version 3.4 or above

st_triangulate_constrained returns the constrained delaunay triangulation of polygons; requires GEOS version 3.10 or above

st_inscribed_circle returns the maximum inscribed circle for polygon geometries. For st_inscribed_circle, if nQuadSegs is 0 a 2-point LINESTRING is returned with the center point and a boundary point of every circle, otherwise a circle (buffer) is returned where nQuadSegs controls the number of points per quadrant to approximate the circle. st_inscribed_circle requires GEOS version 3.9 or above

st_minimum_rotated_rectangle returns the minimum rotated rectangular POLYGON which encloses the input geometry. The rectangle has width equal to the minimum diameter, and a longer length. If the convex hill of the input is degenerate (a line or point) a linestring or point is returned.

st_voronoi creates voronoi tessellation. st_voronoi requires GEOS version 3.5 or above

st_polygonize creates a polygon from lines that form a closed ring. In case of st_polygonize, x must be an object of class LINESTRING or MULTILINESTRING, or an sfc geometry list-column object containing these

st_line_merge merges lines. In case of st_line_merge, x must be an object of class MULTILINESTRING, or an sfc geometry list-column object containing these

st_centroid gives the centroid of a geometry

st_point_on_surface returns a point guaranteed to be on the (multi)surface.

st_reverse reverses the nodes in a line

st_node adds nodes to linear geometries at intersections without a node, and only works on individual linear geometries

st_segmentize adds points to straight lines

See also

chull for a more efficient algorithm for calculating the convex hull

Examples

## st_buffer, style options (taken from rgeos gBuffer)
l1 = st_as_sfc("LINESTRING(0 0,1 5,4 5,5 2,8 2,9 4,4 6.5)")
op = par(mfrow=c(2,3))
plot(st_buffer(l1, dist = 1, endCapStyle="ROUND"), reset = FALSE, main = "endCapStyle: ROUND")
plot(l1,col='blue',add=TRUE)
plot(st_buffer(l1, dist = 1, endCapStyle="FLAT"), reset = FALSE, main = "endCapStyle: FLAT")
plot(l1,col='blue',add=TRUE)
plot(st_buffer(l1, dist = 1, endCapStyle="SQUARE"), reset = FALSE, main = "endCapStyle: SQUARE")
plot(l1,col='blue',add=TRUE)
plot(st_buffer(l1, dist = 1, nQuadSegs=1), reset = FALSE, main = "nQuadSegs: 1")
plot(l1,col='blue',add=TRUE)
plot(st_buffer(l1, dist = 1, nQuadSegs=2), reset = FALSE, main = "nQuadSegs: 2")
plot(l1,col='blue',add=TRUE)
plot(st_buffer(l1, dist = 1, nQuadSegs= 5), reset = FALSE, main = "nQuadSegs: 5")
plot(l1,col='blue',add=TRUE)

par(op)


l2 = st_as_sfc("LINESTRING(0 0,1 5,3 2)")
op = par(mfrow = c(2, 3))
plot(st_buffer(l2, dist = 1, joinStyle="ROUND"), reset = FALSE, main = "joinStyle: ROUND")
plot(l2, col = 'blue', add = TRUE)
plot(st_buffer(l2, dist = 1, joinStyle="MITRE"), reset = FALSE, main = "joinStyle: MITRE")
plot(l2, col= 'blue', add = TRUE)
plot(st_buffer(l2, dist = 1, joinStyle="BEVEL"), reset = FALSE, main = "joinStyle: BEVEL")
plot(l2, col= 'blue', add=TRUE)
plot(st_buffer(l2, dist = 1, joinStyle="MITRE" , mitreLimit=0.5), reset = FALSE,
   main = "mitreLimit: 0.5")
plot(l2, col = 'blue', add = TRUE)
plot(st_buffer(l2, dist = 1, joinStyle="MITRE",mitreLimit=1), reset = FALSE,
   main = "mitreLimit: 1")
plot(l2, col = 'blue', add = TRUE)
plot(st_buffer(l2, dist = 1, joinStyle="MITRE",mitreLimit=3), reset = FALSE,
   main = "mitreLimit: 3")
plot(l2, col = 'blue', add = TRUE)

par(op)
nc = st_read(system.file("shape/nc.shp", package="sf"))
#> Reading layer `nc' from data source 
#>   `/home/runner/work/_temp/Library/sf/shape/nc.shp' using driver `ESRI Shapefile'
#> Simple feature collection with 100 features and 14 fields
#> Geometry type: MULTIPOLYGON
#> Dimension:     XY
#> Bounding box:  xmin: -84.32385 ymin: 33.88199 xmax: -75.45698 ymax: 36.58965
#> Geodetic CRS:  NAD27
nc_g = st_geometry(nc)
plot(st_convex_hull(nc_g))
plot(nc_g, border = grey(.5), add = TRUE)

pt = st_combine(st_sfc(st_point(c(0,80)), st_point(c(120,80)), st_point(c(240,80))))
st_convex_hull(pt) # R2
#> Geometry set for 1 feature 
#> Geometry type: LINESTRING
#> Dimension:     XY
#> Bounding box:  xmin: 0 ymin: 80 xmax: 240 ymax: 80
#> CRS:           NA
#> LINESTRING (0 80, 240 80)
st_convex_hull(st_set_crs(pt, 'OGC:CRS84')) # S2
#> Geometry set for 1 feature 
#> Geometry type: POLYGON
#> Dimension:     XY
#> Bounding box:  xmin: -120 ymin: 80 xmax: 120 ymax: 80
#> Geodetic CRS:  WGS 84
#> POLYGON ((-120 80, 0 80, 120 80, -120 80))
set.seed(131)
if (compareVersion(sf_extSoftVersion()[["GEOS"]], "3.11.0") > -1) {
 pts = cbind(runif(100), runif(100))
 m = st_multipoint(pts)
 co = sf:::st_concave_hull(m, 0.3)
 coh = sf:::st_concave_hull(m, 0.3, allow_holes = TRUE)
 plot(co, col = 'grey')
 plot(coh, add = TRUE, border = 'red')
 plot(m, add = TRUE)
}

# st_simplify examples:
op = par(mfrow = c(2, 3), mar = rep(0, 4))
plot(nc_g[1])
plot(st_simplify(nc_g[1], dTolerance = 1e3)) # 1000m
plot(st_simplify(nc_g[1], dTolerance = 5e3)) # 5000m
nc_g_planar = st_transform(nc_g, 2264) # planar coordinates, US foot
plot(nc_g_planar[1])
plot(st_simplify(nc_g_planar[1], dTolerance = 1e3)) # 1000 foot
plot(st_simplify(nc_g_planar[1], dTolerance = 5e3)) # 5000 foot

par(op)

if (compareVersion(sf_extSoftVersion()[["GEOS"]], "3.10.0") > -1) {
 pts = rbind(c(0,0), c(1,0), c(1,1), c(.5,.5), c(0,1), c(0,0))
 po = st_polygon(list(pts))
 co = st_triangulate_constrained(po)
 tr = st_triangulate(po)
 plot(po, col = NA, border = 'grey', lwd = 15)
 plot(tr, border = 'green', col = NA, lwd = 5, add = TRUE)
 plot(co, border = 'red', col = 'NA', add = TRUE)
}

if (compareVersion(sf_extSoftVersion()[["GEOS"]], "3.9.0") > -1) {
  nc_t = st_transform(nc, 'EPSG:2264')
  x = st_inscribed_circle(st_geometry(nc_t))
  plot(st_geometry(nc_t), asp = 1, col = grey(.9))
  plot(x, add = TRUE, col = '#ff9999')
}

set.seed(1)
x = st_multipoint(matrix(runif(10),,2))
box = st_polygon(list(rbind(c(0,0),c(1,0),c(1,1),c(0,1),c(0,0))))
if (compareVersion(sf_extSoftVersion()[["GEOS"]], "3.5.0") > -1) {
 v = st_sfc(st_voronoi(x, st_sfc(box)))
 plot(v, col = 0, border = 1, axes = TRUE)
 plot(box, add = TRUE, col = 0, border = 1) # a larger box is returned, as documented
 plot(x, add = TRUE, col = 'red', cex=2, pch=16)
 plot(st_intersection(st_cast(v), box)) # clip to smaller box
 plot(x, add = TRUE, col = 'red', cex=2, pch=16)
 # matching Voronoi polygons to data points:
 # https://github.com/r-spatial/sf/issues/1030
 # generate 50 random unif points:
 n = 100
 pts = st_as_sf(data.frame(matrix(runif(n), , 2), id = 1:(n/2)), coords = c("X1", "X2"))
 # compute Voronoi polygons:
 pols = st_collection_extract(st_voronoi(do.call(c, st_geometry(pts))))
 # match them to points:
 pts_pol = st_intersects(pts, pols)
 pts$pols = pols[unlist(pts_pol)] # re-order
 if (isTRUE(try(compareVersion(sf_extSoftVersion()["GEOS"], "3.12.0") > -1,
   silent = TRUE))) {
   pols_po = st_collection_extract(st_voronoi(do.call(c, st_geometry(pts)),
     point_order = TRUE)) # GEOS >= 3.12 can preserve order of inputs
   pts_pol_po = st_intersects(pts, pols_po)
   print(all(unlist(pts_pol_po) == 1:(n/2)))
 }
 plot(pts["id"], pch = 16) # ID is color
 plot(st_set_geometry(pts, "pols")["id"], xlim = c(0,1), ylim = c(0,1), reset = FALSE)
 plot(st_geometry(pts), add = TRUE)
 layout(matrix(1)) # reset plot layout
}




mls = st_multilinestring(list(matrix(c(0,0,0,1,1,1,0,0),,2,byrow=TRUE)))
st_polygonize(st_sfc(mls))
#> Geometry set for 1 feature 
#> Geometry type: GEOMETRYCOLLECTION
#> Dimension:     XY
#> Bounding box:  xmin: 0 ymin: 0 xmax: 1 ymax: 1
#> CRS:           NA
#> GEOMETRYCOLLECTION (POLYGON ((0 0, 0 1, 1 1, 0 ...
mls = st_multilinestring(list(rbind(c(0,0), c(1,1)), rbind(c(2,0), c(1,1))))
st_line_merge(st_sfc(mls))
#> Geometry set for 1 feature 
#> Geometry type: LINESTRING
#> Dimension:     XY
#> Bounding box:  xmin: 0 ymin: 0 xmax: 2 ymax: 1
#> CRS:           NA
#> LINESTRING (0 0, 1 1, 2 0)
plot(nc_g, axes = TRUE)
plot(st_centroid(nc_g), add = TRUE, pch = 3, col = 'red')

mp = st_combine(st_buffer(st_sfc(lapply(1:3, function(x) st_point(c(x,x)))), 0.2 * 1:3))
plot(mp)
plot(st_centroid(mp), add = TRUE, col = 'red') # centroid of combined geometry
plot(st_centroid(mp, of_largest_polygon = TRUE), add = TRUE, col = 'blue', pch = 3)

plot(nc_g, axes = TRUE)
plot(st_point_on_surface(nc_g), add = TRUE, pch = 3, col = 'red')
#> Warning: st_point_on_surface may not give correct results for longitude/latitude data

if (compareVersion(sf_extSoftVersion()[["GEOS"]], "3.7.0") > -1) {
  st_reverse(st_linestring(rbind(c(1,1), c(2,2), c(3,3))))
}
#> LINESTRING (3 3, 2 2, 1 1)
(l = st_linestring(rbind(c(0,0), c(1,1), c(0,1), c(1,0), c(0,0))))
#> LINESTRING (0 0, 1 1, 0 1, 1 0, 0 0)
st_polygonize(st_node(l))
#> GEOMETRYCOLLECTION (POLYGON ((0 0, 0.5 0.5, 1 0, 0 0)), POLYGON ((0.5 0.5, 0 1, 1 1, 0.5 0.5)))
st_node(st_multilinestring(list(rbind(c(0,0), c(1,1), c(0,1), c(1,0), c(0,0)))))
#> MULTILINESTRING ((0 0, 0.5 0.5), (0.5 0.5, 1 1, 0 1, 0.5 0.5), (0.5 0.5, 1 0, 0 0))
sf = st_sf(a=1, geom=st_sfc(st_linestring(rbind(c(0,0),c(1,1)))), crs = 4326)
if (require(lwgeom, quietly = TRUE)) {
 seg = st_segmentize(sf, units::set_units(100, km))
 seg = st_segmentize(sf, units::set_units(0.01, rad))
 nrow(seg$geom[[1]])
}
#> Linking to liblwgeom 3.0.0beta1 r16016, GEOS 3.10.2, PROJ 8.2.1
#> 
#> Attaching package: ‘lwgeom’
#> The following object is masked from ‘package:sf’:
#> 
#>     st_perimeter
#> [1] 5