inlabru: glplot.SpatialPoints – R documentation

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glplot.SpatialPoints

Visualize SpatialPoints using RGL

Description

This function will calculate the cartesian coordinates of the points provided and use rgl.points() in order to render them.

Usage

## S3 method for class 'SpatialPoints'
glplot(object, add = TRUE, color = "red", ...)

Arguments

`object`	a SpatialPoints or SpatialPointsDataFrame object.
`add`	If TRUE, add the points to an existing plot. If FALSE, create new plot.
`color`	vector of R color characters. See rgl.material() for details.
`...`	Parameters passed on to rgl.points()

Examples

## Not run: 
if (bru_safe_inla() &&
  require("rgl", quietly = TRUE) &&
  require("sphereplot", quietly = TRUE)) {

  # Load pantropoical dolphin data

  data("mexdolphin", package = "inlabru")

  # Show the globe

  globe()

  # Add mesh, ship transects and dolphin sightings stored
  # as inla.mesh, SpatialLines and SpatialPoints objects, respectively

  glplot(mexdolphin$mesh)
  glplot(mexdolphin$samplers)
  glplot(mexdolphin$points)
}

## End(Not run)

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