Detects bodies of water (of a user-defined minimum size) within an elevation matrix.

detect_water(heightmap, zscale = 1, cutoff = 0.999,
  min_area = length(heightmap)/400, normalvectors = NULL,
  keep_groups = FALSE, progbar = FALSE)



A two-dimensional matrix, where each entry in the matrix is the elevation at that point. All grid points are assumed to be evenly spaced.


Default `1`. The ratio between the x and y spacing (which are assumed to be equal) and the z axis. For example, if the elevation levels are in units of 1 meter and the grid values are separated by 10 meters, `zscale` would be 10.


Default `0.999`. The lower limit of the z-component of the unit normal vector to be classified as water.


Default length(heightmap)/400. Minimum area (in units of the height matrix x and y spacing) to be considered a body of water.


Default `NULL`. Pre-computed array of normal vectors from the `calculate_normal` function. Supplying this will speed up water detection.


Default `FALSE`. If `TRUE`, the matrix returned will retain the numbered grouping information.


Default `FALSE`. If `TRUE`, turns on progress bar.


Matrix indicating whether water was detected at that point. 1 indicates water, 0 indicates no water.


library(magrittr) #Here we even out a portion of the volcano dataset to simulate water: island_volcano = volcano island_volcano[island_volcano < mean(island_volcano)] = mean(island_volcano) #Setting a minimum area avoids classifying small flat areas as water: island_volcano %>% sphere_shade(texture="imhof3") %>% add_water(detect_water(island_volcano, min_area = 400),color="imhof3") %>% plot_map()