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Converts a plot sample with locations of each point within each plot, into a plot sample with only the count within each plot.

Usage

point2count(plots, dets)

Arguments

plots

A SpatialPolygonsDataFrame object containing the plots that were sampled.

dets

A SpatialPointsDataFrame object containing the locations of the points within the plots.

Value

A SpatialPolygonsDataFrame with counts in each plot contained in slot @data$n.

Examples

# \donttest{
# Some features require the raster package
if (require("raster", quietly = TRUE) &&
  require("ggplot2", quietly = TRUE)) {
  data(gorillas, package = "inlabru")
  plotpts <- plotsample(gorillas$nests, gorillas$boundary,
    x.ppn = 0.4, y.ppn = 0.4, nx = 5, ny = 5
  )
  p1 <- ggplot() +
    gg(plotpts$plots) +
    gg(plotpts$dets) +
    gg(gorillas$boundary)
  countdata <- point2count(plotpts$plots, plotpts$dets)
  x <- coordinates(countdata)[, 1]
  y <- coordinates(countdata)[, 2]
  count <- countdata@data$n
  p2 <- ggplot() +
    gg(gorillas$boundary) +
    gg(plotpts$plots) +
    geom_text(aes(label = count, x = x, y = y))
  multiplot(p1, p2, cols = 2)
}
#> Regions defined for each Polygons
#> Regions defined for each Polygons
#> Regions defined for each Polygons
#> Regions defined for each Polygons

# }