gg.SpatialPolygons {inlabru} | R Documentation |
Geom for SpatialPolygons objects
Description
Uses the ggplot2::fortify()
function to turn the SpatialPolygons
objects into a
data.frame
. Then
calls geom_polygon
to plot the polygons. Requires the ggplot2
package.
Usage
## S3 method for class 'SpatialPolygons'
gg(data, mapping = NULL, crs = NULL, ...)
Arguments
data |
A |
mapping |
Aesthetic mappings created by |
crs |
A |
... |
Arguments passed on to |
Details
Up to version 2.10.0
, the ggpolypath
package was used to ensure
proper plotting, since the ggplot2::geom_polygon
function doesn't always
handle geometries with holes properly. After 2.10.0
, the object is converted
to sf
format and passed on to gg.sf()
instead, as ggplot2
version 3.4.4
deprecated the intenrally used ggplot2::fortify()
method for
SpatialPolygons/DataFrame
objects.
Value
A geom_sf
object.
See Also
Other geomes for spatial data:
gg()
,
gg.SpatRaster()
,
gg.SpatialGridDataFrame()
,
gg.SpatialLines()
,
gg.SpatialPixels()
,
gg.SpatialPixelsDataFrame()
,
gg.SpatialPoints()
,
gg.sf()
,
gm()
Examples
if (require(ggplot2, quietly = TRUE) &&
bru_safe_sp() &&
require("sp")) {
# Load Gorilla data
data("gorillas", package = "inlabru")
# Plot Gorilla elevation covariate provided as SpatialPixelsDataFrame.
# The same syntax applies to SpatialGridDataFrame objects.
ggplot() +
gg(gorillas$gcov$elevation)
# Add Gorilla survey boundary and nest sightings
ggplot() +
gg(gorillas$gcov$elevation) +
gg(gorillas$boundary) +
gg(gorillas$nests)
# Load pantropical dolphin data
data("mexdolphin", package = "inlabru")
# Plot the pantropical survey boundary, ship transects and dolphin sightings
ggplot() +
gg(mexdolphin$ppoly) + # survey boundary as SpatialPolygon
gg(mexdolphin$samplers) + # ship transects as SpatialLines
gg(mexdolphin$points) # dolphin sightings as SpatialPoints
# Change color
ggplot() +
gg(mexdolphin$ppoly, color = "green") + # survey boundary as SpatialPolygon
gg(mexdolphin$samplers, color = "red") + # ship transects as SpatialLines
gg(mexdolphin$points, color = "blue") # dolphin sightings as SpatialPoints
# Visualize data annotations: line width by segment number
names(mexdolphin$samplers) # 'seg' holds the segment number
ggplot() +
gg(mexdolphin$samplers, aes(color = seg))
# Visualize data annotations: point size by dolphin group size
names(mexdolphin$points) # 'size' holds the group size
ggplot() +
gg(mexdolphin$points, aes(size = size))
}