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Which is the best your package for landscape analysis?
landscapemetrics is an R package for calculating landscape metrics for categorical landscape patterns in a tidy workflow. The package can be used as a drop-in replacement for FRAGSTATS (McGarigal et al. 2012), as it offers a reproducible workflow for landscape analysis in a single environment.
What are the metrics for class and landscape?
These metrics simply quantify, for the class or landscape as a whole, some attribute of the statistical distribution (e.g., mean, max, variance) of the corresponding patch characteristic (e.g., size, shape). Indeed, any patch-level metric can be summarized in this manner at the class and landscape levels.
How is the surface area of a landscape calculated?
Surface area also is a basis for a useful measure of landscape topographic roughness. The surface-area ratio of any particular region on the landscape can be calculated by dividing the surface area of that region by the planimetric area.
How can configuration be quantified at the landscape level?
Configuration also can be quantified in terms of the spatial relationship of patches and patch types (e.g., nearest neighbor, contagion). These metrics are spatially explicit at the class or landscape level because the relative location of individual patches within the patch mosaic is represented in some way.
Which is the best tool to calculate landscape metrics?
One benefit of R is its active community that constantly develops software packages for specific tasks. The R package SDMTools (VanDerWal et al. 2019) includes a small subset of landscape metrics, but until now there is no comprehensive, dedicated R package to calculate landscape metrics.
What is landscapemetrics and what is its purpose?
Update citation…probably will push in 2 min again because I forgo… landscapemetrics is an R package for calculating landscape metrics for categorical landscape patterns in a tidy workflow.
Is there an open source version of landscapemetrics?
We present landscapemetrics, an open‐source R package that overcomes many constraints of existing landscape metric software. The package includes an extensive collection of commonly used landscape metrics in a tidy workflow. To facilitate the integration into large workflows, landscapemetrics is based on a well‐established spatial framework in R.