landscapemetrics (1.4.2)

0 users

Landscape Metrics for Categorical Map Patterns.

Calculates landscape metrics for categorical landscape patterns in a tidy workflow. 'landscapemetrics' reimplements the most common metrics from 'FRAGSTATS' () and new ones from the current literature on landscape metrics. This package supports 'raster' spatial objects and takes RasterLayer, RasterStacks, RasterBricks or lists of RasterLayer from the 'raster' package as input arguments. It further provides utility functions to visualize patches, select metrics and building blocks to develop new metrics.

Maintainer: Maximillian H.K. Hesselbarth
Author(s): Maximillian H.K. Hesselbarth [aut, cre] (<>), Marco Sciaini [aut] (<>), Jakub Nowosad [aut] (<>), Sebastian Hanss [aut] (<>), Laura J. Graham [ctb] (Input on package structure), Jeffrey Hollister [ctb] (Input on package structure), Kimberly A. With [ctb] (Input on package structure), Florian Priv [ctb] (Original author of underlying C++ code for get_nearestneighbour() function), Matt Strimas-Mackey [ctb] (Bugfix in sample_metrics())

License: GPL-3

Uses: cli, ggplot2, raster, Rcpp, sp, tibble, testthat, rgeos, knitr, dplyr, rmarkdown, covr
Enhances: sf, stars

Released 2 days ago.

13 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of landscapemetrics yet. Want to be the first? Write one now.

Related packages: DCluster, FieldSim, PBSmapping, PBSmodelling, RArcInfo, RColorBrewer, RNetCDF, RPyGeo, RandomFields, ade4, ads, akima, ash, aspace, classInt, deldir, ecespa, fields, geoR, geoRglm(20 best matches, based on common tags.)

Search for landscapemetrics on google, google scholar, r-help, r-devel.

Visit landscapemetrics on R Graphical Manual.