Create isopleths from utilisation distributions

This method can be applied to a whole tibble of UDs, or to an individual UD.

Usage

hr_tt_ud_iso(x, levels = c(0.5, 0.95))

# S3 method for class 'tbl_df'
hr_tt_ud_iso(x, levels = c(0.5, 0.95))

# S3 method for class 'SpatRaster'
hr_tt_ud_iso(x, levels = c(0.5, 0.95))

hr_ud_iso(x, levels = c(0.5, 0.95))

Arguments

x

either a tibble of class hr_tt_ud_tbl, as created by hr_tt_kde(), or a SpatRaster object from the ud column of a hr_tt_ud_tbl tibble.

levels

numeric vector of isopleth levels to create. Default is c(0.50, 0.95), which will create 50% and 95% isopleths. Levels should be between 0 and 1.

Value

If x is a tibble, a tibble of class hr_tt_poly_tbl with columns id, level, and geometry. If x is a hr_tt_ud object, a sfc_GEOMETRYCOLLECTION object.

See also

Other home_range: hr_tt_ud_sum()

Examples

example_kde <- hr_tt_kde(example_tt)
example_iso <- hr_tt_ud_iso(example_kde)
example_iso
#> Simple feature collection with 6 features and 10 fields
#> Geometry type: MULTIPOLYGON
#> Dimension:     XY
#> Bounding box:  xmin: -7.624955 ymin: -4.28871 xmax: 7.82745 ymax: 5.792261
#> Geodetic CRS:  WGS 84
#> # A tibble: 6 × 11
#>   track_id method     h  xmin  ymin  xmax  ymax   res level          area
#>   <chr>    <chr>  <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>         [m^2]
#> 1 a        kde     1.06 -16.5 -7.42  16.6  9.54 0.737  0.5  165392600801.
#> 2 a        kde     1.06 -16.5 -7.42  16.6  9.54 0.737  0.95 656939585304.
#> 3 b        kde     1.06 -16.5 -7.42  16.6  9.54 0.737  0.5   95349646303.
#> 4 b        kde     1.06 -16.5 -7.42  16.6  9.54 0.737  0.95 418935814644.
#> 5 c        kde     1.06 -16.5 -7.42  16.6  9.54 0.737  0.5  112048649312.
#> 6 c        kde     1.06 -16.5 -7.42  16.6  9.54 0.737  0.95 508659872486.
#> # ℹ 1 more variable: geometry <MULTIPOLYGON [°]>

# now plot the isopleths
library(ggplot2)
ggplot(example_iso) +
  geom_sf(aes(fill = track_id), alpha = 0.7)