window_metric {geodiv}

Calculate Texture Metric for Single Pixel

Description

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

Usage

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

Arguments

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)).

Details

Metrics from geodiv package:

1. 'sa': average surface roughness

2. 'sq': root mean square roughness

3. 's10z': ten-point height

4. 'sdq': root mean square slope of surface, 2-point method

5. 'sdq6': root mean square slope of surface, 7-point method

6. 'sdr': surface area ratio

7. 'sbi': surface bearing index

8. 'sci': core fluid retention index

9. 'ssk': skewness

10. 'sku': kurtosis

11. 'sds': summit density

12. 'sfd': 3d fractal dimension

13. 'srw': dominant radial wavelength, radial wavelength index, mean half wavelength

14. 'std': angle of dominating texture, texture direction index

15. 'svi': valley fluid retention index

16. 'stxr': texture aspect ratio

17. 'ssc': mean summit curvature

18. 'sv': maximum valley depth

19. 'sph': maximum peak height

20. 'sk': core roughness depth

21. 'smean': mean peak height

22. 'svk': reduced valley depth

23. 'spk': reduced peak height

24. 'scl': correlation length

25. 'sdc': bearing area curve height interval

Value

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

Note

Note that if calculating the metric at the edge of a raster or matrix, the input raster/matrix must be padded. This can be done using the pad_edges function.