# NOT RUN {
load_longlake_data()
ggplot() +
# annotation_spatial() layers don't train the scales, so data stays central
annotation_spatial(longlake_roadsdf, size = 2, col = "black") +
annotation_spatial(longlake_roadsdf, size = 1.6, col = "white") +
# raster layers train scales and get projected automatically
layer_spatial(longlake_depth_raster, aes(alpha = stat(band1)), fill = "darkblue") +
scale_alpha_continuous(na.value = 0) +
# layer_spatial() layers train the scales
layer_spatial(longlake_depthdf, aes(col = DEPTH_M)) +
# spatial-aware automagic scale bar
annotation_scale(location = "tl") +
# spatial-aware automagic north arrow
annotation_north_arrow(location = "br", which_north = "true")
# }
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