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  [aut,
cre],
Reinhard Furrer
[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 posteo.net> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
yes |
| Materials: |
README NEWS |
| CRAN checks: |
StrucDiv results |
Documentation:
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