Description: Simulates categorical maps on actual geographical realms, starting from either empty landscapes or landscapes provided by the user (e.g. land use maps). Allows to tweak or create landscapes while retaining a high degree of control on its features, without the hassle of specifying each location attribute. In this it differs from other tools which generate null or neutral landscapes in a theoretical space. The basic algorithm currently implemented uses a simple agent style/cellular automata growth model, with no rules (apart from areas of exclusion). Outputs are raster dataset exportable to any common GIS format.

Description: Simulates categorical maps on actual geographical realms, starting from either empty landscapes or landscapes provided by the user (e.g. land use maps). Allows to tweak or create landscapes while retaining a high degree of control on its features, without the hassle of specifying each location attribute. In this it differs from other tools which generate null or neutral landscapes in a theoretical space. The basic algorithm currently implemented uses a simple agent style/cellular automata growth model, with no rules (apart from areas of exclusion) and von Neumann neighbourhood (four cells, aka Rook case). Outputs are raster dataset exportable to any common GIS format.

Title: Landscape Metrics for Categorical Map Patterns
Authors@R: c(person("Maximillian H.K.", "Hesselbarth", email = "maximilian.hesselbarth@uni-goettingen.de",
person("Marco", "Sciaini", email = "sciaini.marco@gmail.com",
person("Jakub", "Nowosad", role = "aut",
person("Laura J.", "Graham", role = "ctb",
person("Kimberly A.", "With", role = "ctb",
person("Jeffrey", "Hollister", role = "ctb",
person("Jeremy", "VanDerWal", role = "ctb",
comment = "Original author of underlying C code for
person("Florian", "Privé", role = "ctb",
comment = "Original author of underlying C++ code for
Maintainer: Maximillian H.K. Hesselbarth <maximilian.hesselbarth@uni-goettingen.de>
Description: Calculates landscape metrics for categorical landscape patterns in
a tidy workflow. 'landscapemetrics' reimplements the most common metrics from
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
Imports: dplyr, ggplot2, magrittr, purrr, raster, Rcpp, tibble
Packaged: 2018-08-09 07:31:37 UTC; Maximilian
Author: Maximillian H.K. Hesselbarth [aut, cre]
Jeremy VanDerWal [ctb] (Original author of underlying C code for
Florian Privé [ctb] (Original author of underlying C++ code for