inlabru: spatial.to.ppp – R documentation

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spatial.to.ppp

Convert SpatialPoints and boundary polygon to spatstat ppp object

Description

Spatstat point pattern objects consist of points and an observation windows. This function uses a SpatialPoints object and a SpatialPolygon object to generate the points and the window. Lastly, the ppp() function is called to create the ppp object.

Usage

spatial.to.ppp(points, samplers)

Arguments

`points`	A `SpatialPoints[DataFrame]` object describing the point pattern.
`samplers`	A `SpatialPolygons[DataFrame]` object describing the observation window.

Value

A spatstat spatstat ppp object

Examples

if (require("spatstat.geom")) {
  # Load Gorilla data

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

  # Use nest locations and survey boundary to create a spatstat ppp object

  gp <- spatial.to.ppp(gorillas$nests, gorillas$boundary)
  class(gp)

  # Plot it

  plot(gp)
}

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