Computes summary statistics for cells in a WhiteboxRaster object.
Usage
# S3 method for class '`wbw::WhiteboxRaster`'
summary(object, ...)
# S3 method for class '`wbw::WhiteboxRaster`'
max(object, ...)
# S3 method for class '`wbw::WhiteboxRaster`'
mean(x, ...)
# S3 method for class '`wbw::WhiteboxRaster`'
median(x, na.rm = FALSE, ...)
# S3 method for class '`wbw::WhiteboxRaster`'
min(object, ...)
stdev(x)
variance(x)
References
For more information, see https://www.whiteboxgeo.com/manual/wbw-user-manual/book/tool_help.html#raster_summary_stats
Examples
f <- system.file("extdata/dem.tif", package = "wbw")
wbw_read_raster(f) |>
summary()
#> Number of non-nodata grid cells: 580800
#> Number of nodata grid cells: 0
#> Image minimum: 63.69819259643555
#> Image maximum: 361.0207214355469
#> Image range: 297.3225288391113
#> Image total: 96935805.29621124
#> Image average: 166.90049121248492
#> Image variance: 2370.364458272903
#> Image standard deviation: 48.68638883993044
f <- system.file("extdata/dem.tif", package = "wbw")
wbw_read_raster(f) |>
max()
#> [1] 361.0207
f <- system.file("extdata/dem.tif", package = "wbw")
wbw_read_raster(f) |>
mean()
#> [1] 166.9005
f <- system.file("extdata/dem.tif", package = "wbw")
wbw_read_raster(f) |>
median()
#> [1] 162.3418
f <- system.file("extdata/dem.tif", package = "wbw")
wbw_read_raster(f) |>
min()
#> [1] 63.69819
f <- system.file("extdata/dem.tif", package = "wbw")
wbw_read_raster(f) |>
stdev()
#> [1] 48.68639
f <- system.file("extdata/dem.tif", package = "wbw")
wbw_read_raster(f) |>
variance()
#> [1] 2370.364