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StrucDiv  

Spatial Structural Diversity Quantification in Raster Data
View on CRAN: Click here


Download and install StrucDiv package within the R console
Install from CRAN:
install.packages("StrucDiv")

Install from Github:
library("remotes")
install_github("cran/StrucDiv")

Install by package version:
library("remotes")
install_version("StrucDiv", "0.2.1")



Attach the package and use:
library("StrucDiv")
Maintained by
Leila Schuh
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-07-14
Latest Update:
Description:
Spatial structural diversity refers to the spatial, i.e. horizontal arrangement of landscape elements and can reveal itself as landscape features, such as patches and linear features. The 'R' package 'StrucDiv' provides methods to quantify spatial structural diversity in continuous remote sensing data, or in other data in raster format. Structure is based on the spatial arrangement of value pairs. The 'R' package 'StrucDiv' includes methods to combine information from different spatial scales, which allows to quantify multi-scale spatial structural diversity.
How to cite:
Leila Schuh (2022). StrucDiv: Spatial Structural Diversity Quantification in Raster Data. R package version 0.2.1, https://cran.r-project.org/web/packages/StrucDiv. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 08:27), 0.1.0 (2022-07-14 11:50), 0.1.1 (2022-08-11 12:10), 0.2.0 (2022-12-13 09:20), 0.2.1 (2022-12-14 09:20)
Other packages that cited StrucDiv R package
View StrucDiv citation profile
Other R packages that StrucDiv depends, imports, suggests or enhances
Functions, R codes and Examples using the StrucDiv R package
Some associated functions: Diversity . DiversityDom . getValuesWindow . ndvi.15gl . ndvi . patch . strucDiv . strucDivDom . strucDivNest . 
Some associated R codes: RcppExports.R . StrucDiv.R . data.R . diversity_ref_switch_function.R . diversity_switch_function.R . getValuesWindow.R . strucDivDom.R . strucDivNest.R .  Full StrucDiv package functions and examples
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