Packaged: 2021-09-02 18:54:04 UTC; mhesselbarth

Maintainer: Maximilian H.K. Hesselbarth <mhk.hesselbarth@gmail.com>
Author: Maximilian H.K. Hesselbarth [aut, cre]

Description: Provides utility functions to complete tasks involved in most
landscape analysis. It includes functions to coerce raster data to the
common tibble format and vice versa, it helps with flexible reclassification
tasks of raster data and it provides a function to merge multiple raster.
Furthermore, 'landscapetools' helps landscape scientists to visualize their
data by providing optional themes and utility functions to plot single
landscapes, rasterstacks, -bricks and lists of raster.
person("Google", comment = "Roboto Condensed Font", role = c("cph")),
Imports: magrittr, checkmate, dplyr, extrafont, ggplot2, purrr, raster,

Description: Provides utility functions for some of the less-glamorous tasks involved
in landscape analysis. It includes functions to coerce raster data to the

Title: Landscape Epidemiology and Evolution
Authors@R: c(person("Loup", "Rimbaud", role = "aut", email = "loup.rimbaud@csiro.au"),
person("Julien", "Papaix", role = "aut", email = "julien.papaix@inra.fr"),
Description: A spatio-temporal stochastic model to assess resistance deployment strategies
against plant pathogens. The model is based on stochastic geometry for describing the
landscape and the resistant hosts, a dispersal kernel for the dissemination of the
pathogen, and a SEIR (Susceptible-Exposed-Infectious-Removed) architecture to simulate
Loup Rimbaud, Julien Papaïx, Jean-François Rey, Luke G Barrett,
SystemRequirements: C++11, gsl, gdal >= 1.7.0
Imports: sp (>= 1.0-17), stats (>= 3.0.2), Matrix, MASS, rgeos,
Collate: 'invlogit.R' 'logit.R' 'RcppExports.R' 'graphLand.R'

SystemRequirements: C++11, gsl, gdal >= 1.11.0

Authors@R: c(person("Loup", "Rimbaud", role = "aut", email = "loup.rimbaud@inra.fr"),

Authors@R: c(person("Loup", "Rimbaud", role = "aut", email = "loup.rimbaud@inrae.fr"),
person("Julien", "Papaix", role = "aut", email = "julien.papaix@inrae.fr"),
person("Jean-Francois", "Rey", role = "cre", email = "jean-francois.rey@inrae.fr"),
person("Jean-Loup", "Gaussen", role = "ctb", email = "jean-loup-thomas.gaussen@inrae.fr"))
Description: A stochastic, spatially-explicit, demo-genetic model simulating the spread and evolution
of a plant pathogen in a heterogeneous landscape to assess resistance deployment strategies.
It is based on a spatial geometry for describing the landscape and allocation of different cultivars,
a dispersal kernel for the dissemination of the pathogen, and a SEIR
('Susceptible-Exposed-Infectious-Removed’) structure with a discrete time step.
It provides a useful tool to assess the performance of a wide range of deployment options with
respect to their epidemiological, evolutionary and economic outcomes.
Imports: Rcpp (>= 0.9.0), stats (>= 3.0.2), Matrix, mvtnorm, fields,
splancs, sf, DBI, RSQLite, foreach, parallel, doParallel
Collate: 'Math-Functions.R' 'RcppExports.R' 'graphics.R' 'AgriLand.R'
Suggests: testthat, shiny, shinyjs, DT, knitr, rmarkdown