specified function. The package differs from other packages offering moving window
analysis in 2 key ways: 1. The moving window code has been optimised so that it runs
more quickly than \code{raster::focal} or other packages that build on this;
2. It combines moving window and aggregation in a way which can be effectively parallelised.
Imports: raster, sf, furrr, checkmate, methods, usethis
Suggests: dplyr (>= 0.8-0), testthat, spelling, knitr, rmarkdown, covr,

Suggests: dplyr (>= 0.8-0), testthat, knitr, rmarkdown, covr, ggplot2,

Title: Landscape Connectivity, Habitat, and Protected Area Networks
Description: Given a landscape resistance surface, creates grains of connectivity
(Fall et al. (2007) <doi:10.1007/s10021-007-9038-7>) models that can be used to calculate
effective distances for landscape connectivity at multiple scales.
person("Paul", "Galpern", email = "pgalpern@gmail.com", role = c("aut", "cph")),
person("Sam", "Doctolero", email = "sam.doctolero@gmail.com", role = "aut"),
person("Alex M", "Chubaty", email = "alex.chubaty@gmail.com", role = c("aut", "cre"),
Imports: ggplot2, graphics, grDevices, igraph, methods, sp, raster,
Suggests: cowplot, ggthemes, hunspell, knitr, parallel, rgeos,
Collate: 'grainscape-package.R' 'classes.R' 'GOC.R' 'MPG.R'
'distance.R' 'export.R' 'extract.R' 'ggGS.R' 'graphdf.R'
Alex M Chubaty [aut, cre] (<https://orcid.org/0000-0001-7146-8135>)

Suggests: cowplot, ggthemes, knitr, parallel, rgeos, rmarkdown,

Description: Given a landscape resistance surface, creates minimum planar graph
used to calculate effective distances for landscape connectivity at multiple scales.
Documentation is provided by several vignettes, and a paper
person("Paul", "Galpern", email = "pgalpern@gmail.com", role = c("aut", "cph"),
Suggests: covr, cowplot, ggthemes, knitr, parallel, rgeos, rmarkdown,
Author: Paul Galpern [aut, cph] (<https://orcid.org/0000-0003-0099-3981>),

Author: Farzad Noorian, Anthony Mihirana de Silva
Description: Implementation of Context Free Grammar and Grammatical Evolution for R