dot-calculate_met_focal: Calculate Texture Metric for Single Pixel

In bioXgeo/geodiv: Methods for Calculating Gradient Surface Metrics

Calculate Texture Metric for Single Pixel

Description

Calculates the various texture metrics over a window centered on an individual pixel. This function is modified slightly from the calculate_lsm_focal function in the landscapemetrics package (Hesselbarth et al. 2019).

Usage

.calculate_met_focal(landscape, n_row, n_col, points, what, ...)

Arguments

landscape	A raster or matrix.
n_row	Numeric. Number of rows in focal window.
n_col	Numeric. Number of columns in focal window.
points	Dataframe. Coordinates and values of cells, calculated with the *landscapemetrics* raster_to_points function.
what	Character. Metric to calculate for each window. Metrics from the geodiv package are listed below.
...	Additional arguments for the metric functions. All applicable arguments will be applied to the entire list of metrics.

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

The metric value over the window.

References

1. Hesselbarth, M.H.K., Sciaini, M., With, K.A., Wiegand, K., Nowosad, J. 2019. landscapemetrics: an open-source R tool to calculate landscape metrics. - Ecography 42:1648-1657(ver. 0).

bioXgeo/geodiv documentation built on Oct. 17, 2023, 5:58 a.m.