StrucDiv: Spatial Structural Diversity Quantification in Raster Data

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.

Version: 0.2.1
Depends: R (≥ 3.5.0)
Imports: doParallel (≥ 1.0.15), foreach (≥ 1.5.0), glue, raster (≥ 3.1.5), Rcpp (≥ 1.0.4)
LinkingTo: Rcpp, RcppProgress
Suggests: knitr, rmarkdown, testthat
Published: 2022-12-14
DOI: 10.32614/CRAN.package.StrucDiv
Author: Leila Schuh ORCID iD [aut, cre], Reinhard Furrer ORCID iD [aut], Kalina Cherneva [ctb, ctr], Kirill Müller [ctr], Patrick Schratz [ctr], University Research Priority Progam Global Change and Biodiversity of the University of Zurich [fnd]
Maintainer: Leila Schuh <l.schuh at>
License: GPL (≥ 3)
NeedsCompilation: yes
Materials: README
CRAN checks: StrucDiv results


Reference manual: StrucDiv.pdf
Vignettes: StrucDiv


Package source: StrucDiv_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): StrucDiv_0.2.1.tgz, r-oldrel (arm64): StrucDiv_0.2.1.tgz, r-release (x86_64): StrucDiv_0.2.1.tgz, r-oldrel (x86_64): StrucDiv_0.2.1.tgz
Old sources: StrucDiv archive


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