rasterpic rasterpic website

CRAN status CRAN results R-CMD-check codecov r-universe CodeFactor DOI Project Status: Inactive – The project has reached a stable, usable state but is no longer being actively developed; support/maintenance will be provided as time allows. status

rasterpic is a tiny package with a single goal: geotag an image and return a terra SpatRaster object using coordinates from supported spatial input classes (see ?terra::SpatRaster).

[!NOTE]

This package is stable and maintained on a best-effort basis. I currently prioritize CRAN compatibility, bug fixes and regressions over new features.

Installation

Install rasterpic from CRAN:

install.packages("rasterpic")

Check the documentation for the development version at https://dieghernan.github.io/rasterpic/dev/.

You can install the development version of rasterpic with:

# install.packages("pak")
pak::pak("dieghernan/rasterpic")

Alternatively, you can install rasterpic using the r-universe:

# Install rasterpic in R.
install.packages(
  "rasterpic",
  repos = c(
    "https://dieghernan.r-universe.dev",
    "https://cloud.r-project.org"
  )
)

Example

rasterpic_img() can geotag an image from several spatial input classes:

rasterpic_img() is an S3 generic. Methods for extent-like inputs use the object extent, and vector methods can also mask the image to the object shape.

This example uses an sf object:

library(rasterpic)
library(sf)
library(terra)

# Use the flag of the United Kingdom.
img <- system.file("img/UK_flag.png", package = "rasterpic")
uk <- read_sf(system.file("gpkg/UK.gpkg", package = "rasterpic"))

class(uk)
#> [1] "sf"         "tbl_df"     "tbl"        "data.frame"

# Geotag the image.
uk_flag <- rasterpic_img(uk, img)

uk_flag
#> class       : SpatRaster
#> size        : 400, 800, 3  (nrow, ncol, nlyr)
#> resolution  : 5398.319, 5398.319  (x, y)
#> extent      : -2542183, 1776472, 6430573, 8589900  (xmin, xmax, ymin, ymax)
#> coord. ref. : WGS 84 / Pseudo-Mercator (EPSG:3857)
#> source(s)   : memory
#> colors rgb  : 1, 2, 3
#> names       :   r,   g,   b
#> min values  :   0,  14,  35
#> max values  : 255, 255, 255

# Plot with ggplot2 and tidyterra.
library(tidyterra)
library(ggplot2)

autoplot(uk_flag) +
  geom_sf(data = uk, color = alpha("blue", 0.5))

Example using rasterpic with the UK flag.

You can also adjust the expansion, alignment, cropping and masking options:

# Align, crop and mask the image.
uk_flag2 <- rasterpic_img(uk, img, halign = 0.2, crop = TRUE, mask = TRUE)

autoplot(uk_flag2) +
  geom_sf(data = uk, fill = NA)

Example using rasterpic with the UK flag cropped to the shape.

Supported image formats

rasterpic can read the following image formats:

Citation

Hernangómez D (2026). rasterpic: Convert Digital Images to Spatially Referenced SpatRaster Objects. doi:10.32614/CRAN.package.rasterpic. https://dieghernan.github.io/rasterpic/.

A BibTeX entry for LaTeX users is:

@Manual{R-rasterpic,
  title = {{rasterpic}: Convert Digital Images to Spatially Referenced {SpatRaster} Objects},
  doi = {10.32614/CRAN.package.rasterpic},
  author = {Diego Hernangómez},
  year = {2026},
  version = {0.5.1},
  url = {https://dieghernan.github.io/rasterpic/},
  abstract = {Convert digital images to spatially referenced SpatRaster objects, as defined by the terra package, using coordinates from supported spatial input classes. Supported inputs include numeric coordinate vectors and objects from the sf, terra and stars packages. The main function is an S3 generic, allowing other packages to extend support to additional spatial classes.},
}