Fortify Spat* Objects — fortify.Spat • tidyterra

Fortify SpatRaster and SpatVector objects to data frames. This provide native compatibility with ggplot2::ggplot().

Usage

# S3 method for SpatRaster
fortify(
  model,
  data,
  ...,
  .name_repair = "unique",
  maxcell = terra::ncell(model) * 1.1,
  pivot = FALSE
)

# S3 method for SpatVector
fortify(model, data, ...)

Arguments

model

A SpatRaster created with terra::rast() or a SpatVector created with terra::vect().

data

Not used by this method.

...

Other arguments passed on to layer()'s params argument. These arguments broadly fall into one of 4 categories below. Notably, further arguments to the position argument, or aesthetics that are required can not be passed through .... Unknown arguments that are not part of the 4 categories below are ignored.

Static aesthetics that are not mapped to a scale, but are at a fixed value and apply to the layer as a whole. For example, colour = "red" or linewidth = 3. The geom's documentation has an Aesthetics section that lists the available options. The 'required' aesthetics cannot be passed on to the params. Please note that while passing unmapped aesthetics as vectors is technically possible, the order and required length is not guaranteed to be parallel to the input data.
When constructing a layer using a stat_*() function, the ... argument can be used to pass on parameters to the geom part of the layer. An example of this is stat_density(geom = "area", outline.type = "both"). The geom's documentation lists which parameters it can accept.
Inversely, when constructing a layer using a geom_*() function, the ... argument can be used to pass on parameters to the stat part of the layer. An example of this is geom_area(stat = "density", adjust = 0.5). The stat's documentation lists which parameters it can accept.
The key_glyph argument of layer() may also be passed on through .... This can be one of the functions described as key glyphs, to change the display of the layer in the legend.

.name_repair

Treatment of problematic column names:

"minimal": No name repair or checks, beyond basic existence.
"unique": Make sure names are unique and not empty.
"check_unique": (default value), no name repair, but check they are unique.
"universal": Make the names unique and syntactic.
a function: apply custom name repair (e.g., .name_repair = make.names for names in the style of base R).
A purrr-style anonymous function, see rlang::as_function().

maxcell

positive integer. Maximum number of cells to use for the plot.

pivot

Logical. When TRUE the SpatRaster would be fortified on long format. When FALSE (the default) it would be fortified as a data frame with a column for each layer. See Details.

Value

fortify.SpatVector() returns a sf object and fortify.SpatRaster() returns a tibble. See Methods.

Methods

Implementation of the generic ggplot2::fortify() method.

`SpatRaster`

Return a tibble than can be used with ggplot2::geom_* like ggplot2::geom_point(), ggplot2::geom_raster(), etc.

The resulting tibble includes the coordinates on the columns x, y. The values of each layer are included as additional columns named as per the name of the layer on the SpatRaster.

The CRS of the SpatRaster can be retrieved with attr(fortifiedSpatRaster, "crs").

It is possible to convert the fortified object onto a SpatRaster again with as_spatraster().

When pivot = TRUE the SpatRaster is fortified in a "long" format (see tidyr::pivot_longer()). The fortified object would have the following columns:

x,y: Coordinates (center) of the cell on the corresponding CRS.
lyr: Indicating the name of the SpatRaster layer of value.
value: The value of the SpatRaster in the corresponding lyr.

This option may be useful when using several geom_* and for faceting, see Examples.

`SpatVector`

Return a sf object than can be used with ggplot2::geom_sf().

Examples

# \donttest{

# Get a SpatRaster
r <- system.file("extdata/volcano2.tif", package = "tidyterra") %>%
  terra::rast() %>%
  terra::project("EPSG:4326")

fortified <- ggplot2::fortify(r)

fortified
#> # A tibble: 23,166 × 3
#>        x     y elevation
#>    <dbl> <dbl>     <dbl>
#>  1  175. -36.9        NA
#>  2  175. -36.9        NA
#>  3  175. -36.9        NA
#>  4  175. -36.9        NA
#>  5  175. -36.9        NA
#>  6  175. -36.9        NA
#>  7  175. -36.9        NA
#>  8  175. -36.9        NA
#>  9  175. -36.9        NA
#> 10  175. -36.9        NA
#> # ℹ 23,156 more rows

# The crs is an attribute of the fortified SpatRaster

attr(fortified, "crs")
#> [1] "GEOGCRS[\"WGS 84\",\n    ENSEMBLE[\"World Geodetic System 1984 ensemble\",\n        MEMBER[\"World Geodetic System 1984 (Transit)\"],\n        MEMBER[\"World Geodetic System 1984 (G730)\"],\n        MEMBER[\"World Geodetic System 1984 (G873)\"],\n        MEMBER[\"World Geodetic System 1984 (G1150)\"],\n        MEMBER[\"World Geodetic System 1984 (G1674)\"],\n        MEMBER[\"World Geodetic System 1984 (G1762)\"],\n        MEMBER[\"World Geodetic System 1984 (G2139)\"],\n        ELLIPSOID[\"WGS 84\",6378137,298.257223563,\n            LENGTHUNIT[\"metre\",1]],\n        ENSEMBLEACCURACY[2.0]],\n    PRIMEM[\"Greenwich\",0,\n        ANGLEUNIT[\"degree\",0.0174532925199433]],\n    CS[ellipsoidal,2],\n        AXIS[\"geodetic latitude (Lat)\",north,\n            ORDER[1],\n            ANGLEUNIT[\"degree\",0.0174532925199433]],\n        AXIS[\"geodetic longitude (Lon)\",east,\n            ORDER[2],\n            ANGLEUNIT[\"degree\",0.0174532925199433]],\n    USAGE[\n        SCOPE[\"Horizontal component of 3D system.\"],\n        AREA[\"World.\"],\n        BBOX[-90,-180,90,180]],\n    ID[\"EPSG\",4326]]"

# Back to a SpatRaster with
as_spatraster(fortified)
#> class       : SpatRaster 
#> dimensions  : 162, 143, 1  (nrow, ncol, nlyr)
#> resolution  : 4.916776e-05, 4.916772e-05  (x, y)
#> extent      : 174.7611, 174.7682, -36.87992, -36.87195  (xmin, xmax, ymin, ymax)
#> coord. ref. : lon/lat WGS 84 (EPSG:4326) 
#> source(s)   : memory
#> name        : elevation 
#> min value   :  76.56599 
#> max value   : 195.50436 

# You can now use a SpatRaster with any geom
library(ggplot2)

ggplot(r) +
  geom_histogram(aes(x = elevation),
    bins = 20, fill = "lightblue",
    color = "black"
  )
#> Warning: Removed 975 rows containing non-finite outside the scale range (`stat_bin()`).


# ... and other packages
# Use metR with facets
library(metR)
temp <- terra::rast(system.file("extdata/cyl_temp.tif",
  package = "tidyterra"
))
brks <- seq(0, 21, 3) # Fix breaks!

# Pivot option for faceting
ggplot(temp, aes(x, y), pivot = TRUE) +
  # tidyterra, don't inherit aes
  geom_spatraster_contour_filled(
    data = temp, inherit.aes = FALSE,
    breaks = brks
  ) +
  # metR
  geom_contour_tanaka(aes(z = value), breaks = brks) +
  facet_wrap(~lyr, nrow = 1) +
  scale_fill_whitebox_d(palette = "muted") +
  theme_minimal() +
  labs(
    title = "tidyterra + metR", subtitle = "Facets",
    fill = "temp (°C)", x = "", y = ""
  )


# Create a SpatVector
extfile <- system.file("extdata/cyl.gpkg", package = "tidyterra")
cyl <- terra::vect(extfile)

cyl
#>  class       : SpatVector 
#>  geometry    : polygons 
#>  dimensions  : 9, 3  (geometries, attributes)
#>  extent      : 2892687, 3341372, 2017622, 2361600  (xmin, xmax, ymin, ymax)
#>  source      : cyl.gpkg
#>  coord. ref. : ETRS89-extended / LAEA Europe (EPSG:3035) 
#>  names       :  iso2  cpro   name
#>  type        : <chr> <chr>  <chr>
#>  values      : ES-AV    05  Avila
#>                ES-BU    09 Burgos
#>                ES-LE    24   Leon

# To sf
ggplot2::fortify(cyl)
#> Simple feature collection with 9 features and 3 fields
#> Geometry type: GEOMETRY
#> Dimension:     XY
#> Bounding box:  xmin: 2892687 ymin: 2017622 xmax: 3341372 ymax: 2361600
#> Projected CRS: ETRS89-extended / LAEA Europe
#> # A tibble: 9 × 4
#>   iso2  cpro  name                                                      geometry
#> * <chr> <chr> <chr>                                               <GEOMETRY [m]>
#> 1 ES-AV 05    Avila      POLYGON ((3126360 2066778, 3125074 2065007, 3124303 20…
#> 2 ES-BU 09    Burgos     MULTIPOLYGON (((3276731 2262326, 3275910 2265723, 3270…
#> 3 ES-LE 24    Leon       POLYGON ((3049427 2233673, 3049069 2234201, 3047819 22…
#> 4 ES-P  34    Palencia   MULTIPOLYGON (((3175411 2291868, 3175606 2293658, 3177…
#> 5 ES-SA 37    Salamanca  POLYGON ((3042661 2138939, 3043434 2140279, 3046345 21…
#> 6 ES-SG 40    Segovia    POLYGON ((3126360 2066778, 3124037 2067928, 3118421 20…
#> 7 ES-SO 42    Soria      POLYGON ((3194084 2154251, 3194362 2156613, 3195482 21…
#> 8 ES-VA 47    Valladolid MULTIPOLYGON (((3158120 2161552, 3155455 2155198, 3149…
#> 9 ES-ZA 49    Zamora     POLYGON ((3042661 2138939, 3040851 2133391, 3038188 21…

# Now you can use geom_sf() straight away thanks to fortify::SpatVector()

library(ggplot2)

ggplot(cyl) +
  geom_sf()

# }

Fortify `Spat*` Objects