StrucDiv: Spatial Structural Diversity Quantification in Raster Data

Spatial structural diversity refers to the spatial arrangement of landscape elements and can reveal itself as landscape features, such as patches and line features. The 'R' package 'StrucDiv' provides methods to quantify spatial structural diversity in continuous remote sensing data, or in other data in gridded field format. The methods are based on second-order texture metrics, considering the spatial arrangement of pixel pairs.

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.4), raster (≥ 3.1.5)
LinkingTo: Rcpp, RcppProgress
Suggests: testthat, knitr, rmarkdown
Published: 2022-08-11
Author: Leila Schuh ORCID iD [aut, cre], Reinhard Furrer ORCID iD [aut], Kalina Cherneva [ctb, 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 NEWS
CRAN checks: StrucDiv results


Reference manual: StrucDiv.pdf
Vignettes: StrucDiv


Package source: StrucDiv_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): StrucDiv_0.1.1.tgz, r-oldrel (arm64): StrucDiv_0.1.1.tgz, r-release (x86_64): StrucDiv_0.1.1.tgz, r-oldrel (x86_64): StrucDiv_0.1.1.tgz
Old sources: StrucDiv archive


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