# \donttest{
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))
}
# }
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