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geodiv

geodiv calculates gradient surface metrics in R. These metrics are applied to continuous spatial data (i.e., rasters or matrices) and represent spatial heterogeneity.

Installation

You can install the released version of geodiv from CRAN with:

install.packages("geodiv")

And the development version from GitHub with:

# install.packages("devtools")

# install from master branch
devtools::install_github("bioXgeo/geodiv")

# install from development branch
devtools::install_github("bioXgeo/geodiv",ref = "dev")

On Mac OS X, you may need to install the development tools here to get the package to install:

https://cran.r-project.org/bin/macosx/tools/

Example

This is a basic example which shows you how to calculate several metrics over an entire image. geodiv may also be applied with moving windows over an entire image using the ‘texture_image’ function. For a more complex example, see the vignette.

library(geodiv)

# import example raster
data(normforest)

# apply metrics
sa(normforest) # average surface roughness
#> [1] 0.0442945
svk(normforest) # reduced valley depth
#> [1] 0.5449867
ssc(normforest) # mean summit curvature
#> [1] -0.02192238

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Version

Install

install.packages('geodiv')

Monthly Downloads

319

Version

1.1.1

License

MIT + file LICENSE

Issues

Pull Requests

Stars

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Repository

https://github.com/bioXgeo/geodiv

Maintainer

Kyla Dahlin

Last Published

July 21st, 2026

Functions in geodiv (1.1.1)

Removes the Best Fit Polynomial Surface

Extend edges of a matrix.

Calculates the Kurtosis of Raster Values

Determines the Slopes Along the Bearing Area Curve

NDVI for a portion of southwestern Oregon, USA.

Surface Area Ratio

Surface Bearing Index

Determines the Average Slope Along Larger Segments of the Bearing Area Curve

Core Fluid Retention Index

Calculates the Mean Peak Height of a Surface Image

Plots the Bearing Area Curve

Root Area Mean Square Slope of Surface

Root Mean Square Slope of Surface

Calculates the Maximum Valley Depth of a Surface Image

Calculate Correlation Length

Ten-Point Height

Reduced Peak Height

Calculates the Root Mean Square Roughness of a Surface

Calculate the fractal dimension of a raster.

Calculate the fractal dimension of a raster (C function).

Calculates the Average Roughness of a Surface

Rotates a matrix 180 degrees.

Calculates the Maximum Peak Height of a Surface Image

Calculate Texture Metrics per Pixel

Mean Summit Curvature

Calculates the Skewness of Raster Values

Calculate Texture Metric for Single Pixel

Core Roughness Depth

Simpson's Rule Empirical Area Under a Curve

Estimate Texture Aspect Ratio

Valley Fluid Retention Index

Texture Direction Metrics

Height Intervals of the Bearing Area Curve

Radial Wavelength Metrics

Reduced Valley Depth

Offset Raster or Matrix Values

Degree to Radian Conversion

Estimate Maximum Correlation Length

Estimate Minimum Correlation Length

Calculates the Rotated Bearing Area Curve

Finds the Best Fit Polynomial Surface

Radian to Degree Conversion

Estimate the Areal Autocorrelation Function

.calculate_met_focal

Calculate Texture Metric for Single Pixel

Fourier Transform Shift

Area Above the Bearing Area Curve

Flattened Surface Area

Value of the Bearing Area Curve at a Specified Value

SRTM elevation for a portion of southwestern Oregon, USA.

Calculate a Least Squares Polynomial Surface

Find Local Valleys

Calculate Texture Metrics per Pixel

NDVI errors for a portion of southwestern Oregon, USA.

Find Local Peaks

Finds the Flattest Part of the Bearing Area Curve