Getting started with rasterpic is easy: you need an image (png, jpeg/jpg, or tif/tiff) and a spatial object from the sf or terra package to begin.
Basic usage
Here we use the shape of Austria as an example:
library(sf)
library(terra)
library(rasterpic)
# Plot
library(tidyterra)
library(ggplot2)
# Shape and image
x <- read_sf(system.file("gpkg/austria.gpkg", package = "rasterpic"))
img <- system.file("img/vertical.png", package = "rasterpic")
# Create the raster!
default <- rasterpic_img(x, img)
autoplot(default) +
geom_sf(data = x)
Options
The function provides several options for expansion, alignment, and cropping.
Expand
With this option, the raster extent is expanded beyond the spatial object:
expand <- rasterpic_img(x, img, expand = 1)
autoplot(expand) +
geom_sf(data = x)
Alignment
Choose the alignment of the image within the spatial extent:
bottom <- rasterpic_img(x, img, valign = 0)
autoplot(bottom) +
geom_sf(data = x)
Crop and mask
Crop and mask the image:
mask <- rasterpic_img(x, img, crop = TRUE, mask = TRUE)
autoplot(mask)
maskinverse <- rasterpic_img(x, img, crop = TRUE, mask = TRUE, inverse = TRUE)
autoplot(maskinverse)
Supported spatial objects for geotagging
- Spatial objects of the sf package:
sf, sfc, sfg, or bbox.
- Spatial objects of the terra package:
SpatRaster, SpatVector, SpatExtent.
- A numeric coordinate vector of the form
c(xmin, ymin, xmax, ymax).
rasterpic can parse the following image formats:
png files.
jpg/jpeg files.
tif/tiff files.