window_metric: Calculate Texture Metric for Single Pixel

Description

Calculates the various texture metrics over a window centered on an individual pixel.

window_metric(
  x,
  coords,
  window_type = "square",
  size = 11,
  metric,
  args = NULL
)

A raster with pixel values representative of the metric value for the window surrounding that pixel.

x: A raster or matrix.
coords: Dataframe. Coordinates of window edges.
window_type: Character. Type of window, either circular or square.
size: Numeric. Edge length or diameter of window in number of pixels.
metric: Character. Metric to calculate for each window. Metrics from the geodiv package are listed below.
args: List. Arguments from function to be applied over each window (e.g., list(threshold = 0.2)).

Metrics from geodiv package:

'sa': average surface roughness
'sq': root mean square roughness
's10z': ten-point height
'sdq': root mean square slope of surface, 2-point method
'sdq6': root mean square slope of surface, 7-point method
'sdr': surface area ratio
'sbi': surface bearing index
'sci': core fluid retention index
'ssk': skewness
'sku': kurtosis
'sds': summit density
'sfd': 3d fractal dimension
'srw': dominant radial wavelength, radial wavelength index, mean half wavelength
'std': angle of dominating texture, texture direction index
'svi': valley fluid retention index
'stxr': texture aspect ratio
'ssc': mean summit curvature
'sv': maximum valley depth
'sph': maximum peak height
'sk': core roughness depth
'smean': mean peak height
'svk': reduced valley depth
'spk': reduced peak height
'scl': correlation length
'sdc': bearing area curve height interval