Starting with rasterpic is very easy! You just need
a image (png, jpeg/jpg or
tif/tiff) and a spatial object (from the
sf or the terra) package to start
using it.
We use here as an example the shape of Austria:
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!
default <- rasterpic_img(x, img)
autoplot(default) +
geom_sf(data = x)The function provides several options for expanding, alignment and cropping.
With this option the image is zoomed out of the spatial object:
expand <- rasterpic_img(x, img, expand = 1)
autoplot(expand) +
geom_sf(data = x)Decide where to align the image:
bottom <- rasterpic_img(x, img, valign = 0)
autoplot(bottom) +
geom_sf(data = x)Create impressive maps!:
mask <- rasterpic_img(x, img, crop = TRUE, mask = TRUE)
autoplot(mask)
maskinverse <- rasterpic_img(x, img, crop = TRUE, mask = TRUE, inverse = TRUE)
autoplot(maskinverse)Spatial object of the sf package:
sf, sfc, sfgor
bbox.
Spatial objects of the terra package:
SpatRaster, SpatVector,
SpatExtent.
A vector of coordinates with the form
c(xmin, ymin, xmax, yman)
rasterpic can parse the following image formats:
png files.jpg/jpeg files.tif/tiff files.