iqrST

A function to compute IQR with r method type 7 in a search window. It uses
the implemented rcpp version that is many times faster that using focal with IQR() base
R function. It provides the same result as ArcGis Pro.It is intended for computing roughness
indices expressed as a robust (differently from standard deviation) estimate of dispersion
of local surface parameters (e.g., slope, profile curvature, residual surface, etc.).

Methods for the computation of surface/image texture indices using a geostatistical based approach (Trevisani et al. (2023) <doi:10.1016/j.catena.2023.106927> and Trevisani and Guth (2025) <doi:10.3390/rs17233864>). It provides various functions for the computation of surface texture indices (e.g., omnidirectional roughness and roughness anisotropy), including the ones based on the robust MAD estimator. The kernels included in the software permit also to calculate the surface/image texture indices directly from the input surface (i.e., without de-trending) using increments of order 2 and of order 4. It also provides the new radial roughness index (RRI), representing the improvement of the popular topographic roughness index (TRI). The framework can be easily extended with ad-hoc surface/image texture indices.

Sebastiano Trevisani

SurfRough

Calculate Surface/Image Texture Indexes

Ilich Alexander

Zakharko Taras

iqrST function

<dl><dt>x</dt>
<dd>A DEM/image as a SpatRaster</dd>
<dt>w</dt>
<dd>Search window (e.g., kernelCircular(3)), default 5x5 window</dd>
<dt>...</dt>
<dd>for further use</dd></dl>

Arguments

iqrST: interquartile range in a moving window — iqrST

<dl>

<dt>x</dt>
<dd>A DEM/image as a SpatRaster</dd>


<dt>w</dt>
<dd>Search window (e.g., kernelCircular(3)), default 5x5 window</dd>


<dt>...</dt>
<dd>for further use</dd>

</dl>

iqrST: iqrST: interquartile range in a moving window

Description

Usage

Value

Arguments

References

Examples