vect,GVector-method | R Documentation |
The fasterRaster version of the vect()
function converts a GVector
to a SpatVector
(from the terra package). The fasterRaster version of the st_as_sf()
function converts a GVector
to an sf
object (sf package).
## S4 method for signature 'GVector'
vect(x, ...)
## S4 method for signature 'GVector'
st_as_sf(x)
x |
A |
... |
Additional arguments to send to |
vect()
returns a SpatVector
(terra package), and st_as_sf()
returns an sf
vector (sf package).
terra::vect()
, sf::st_as_sf()
if (grassStarted()) {
# Setup
library(sf)
# Example data:
madCoast4 <- fastData("madCoast4")
madRivers <- fastData("madRivers")
madDypsis <- fastData("madDypsis")
# Convert sf vectors to GVectors:
coast <- fast(madCoast4)
rivers <- fast(madRivers)
dypsis <- fast(madDypsis)
# Geographic properties:
ext(rivers) # extent
crs(rivers) # coordinate reference system
# Column names and data types:
names(coast)
datatype(coast)
# Points, lines, or polygons?
geomtype(dypsis)
geomtype(rivers)
geomtype(coast)
is.points(dypsis)
is.points(coast)
is.lines(rivers)
is.lines(dypsis)
is.polygons(coast)
is.polygons(dypsis)
# Number of dimensions:
topology(rivers)
is.2d(rivers) # 2-dimensional?
is.3d(rivers) # 3-dimensional?
# Just the data table:
as.data.frame(rivers)
as.data.table(rivers)
# Top/bottom of the data table:
head(rivers)
tail(rivers)
# Vector or table with just selected columns:
names(rivers)
rivers$NAME
rivers[[c("NAM", "NAME_0")]]
rivers[[c(3, 5)]]
# Select geometries/rows of the vector:
nrow(rivers)
selected <- rivers[2:6]
nrow(selected)
# Plot:
plot(coast)
plot(rivers, col = "blue", add = TRUE)
plot(selected, col = "red", lwd = 2, add = TRUE)
# Vector math:
hull <- convHull(dypsis)
un <- union(coast, hull)
sameAsUnion <- coast + hull
plot(un)
plot(sameAsUnion)
inter <- intersect(coast, hull)
sameAsIntersect <- coast * hull
plot(inter)
plot(sameAsIntersect)
er <- erase(coast, hull)
sameAsErase <- coast - hull
plot(er)
plot(sameAsErase)
xr <- xor(coast, hull)
sameAsXor <- coast / hull
plot(xr)
plot(sameAsXor)
# Vector area and length:
expanse(coast, unit = "km") # polygons areas
expanse(rivers, unit = "km") # river lengths
# Fill holes
# First, we will make some holes by creating buffers around points, then
# removing them from a polygons GVector.
buffs <- buffer(dypsis, 500)
holes <- coast - buffs
plot(holes)
filled <- fillHoles(holes, fail = FALSE)
}
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