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gg

ggplot2 geomes for inlabru related objects


Description

gg is a generic function for generating geomes from various kinds of spatial objects, e.g. Spatial* data, meshes, Raster objects and inla/inlabru predictions. The function invokes particular methods which depend on the class of the first argument.

Usage

gg(data, ...)

Arguments

data

an object for which to generate a geom.

...

Arguments passed on to the geom method.

Value

The form of the value returned by gg depends on the class of its argument. See the documentation of the particular methods for details of what is produced by that method.

See Also

Other geomes for inla and inlabru predictions: gg.data.frame(), gg.matrix(), gg.prediction(), gm()

Other geomes for meshes: gg.inla.mesh.1d(), gg.inla.mesh(), gm()

Other geomes for Raster data: gg.RasterLayer(), gm()

Examples

# Load Gorilla data

data(gorillas, package = "inlabru")

# Invoke ggplot and add geomes for the Gorilla nests and the survey boundary

ggplot() +
  gg(gorillas$boundary) +
  gg(gorillas$nests)

inlabru

Bayesian Latent Gaussian Modelling using INLA and Extensions

v2.3.1
GPL (>= 2)
Authors
Finn Lindgren [aut, cre, cph] (<https://orcid.org/0000-0002-5833-2011>, Finn Lindgren continued development of the main code), Fabian E. Bachl [aut, cph] (Fabian Bachl wrote the main code), David L. Borchers [ctb, dtc, cph] (David Borchers wrote code for Gorilla data import and sampling, multiplot tool), Daniel Simpson [ctb, cph] (Daniel Simpson wrote the basic LGCP sampling method), Lindesay Scott-Howard [ctb, dtc, cph] (Lindesay Scott-Howard provided MRSea data import code), Seaton Andy [ctb] (Andy Seaton provided testing and bugfixes)
Initial release

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