gorillas | R Documentation |
This is the gorillas
dataset from the package spatstat.data
, reformatted
as point process data for use with inlabru
.
gorillas
# To avoid the name clash with spatstat.data::gorillas, use
data(gorillas, package = "inlabru")
The data are a list that contains these elements:
nests
: A SpatialPointsDataFrame
object containing the locations of
the gorilla nests.
boundary
: An SpatialPolygonsDataFrame
object defining the boundary
of the region that was searched for the nests.
mesh
: An inla.mesh
object containing a mesh that can be used
with function lgcp
to fit a LGCP to the nest data.
gcov
:A list of SpatialGridDataFrame objects, one for each of these spatial covariates:
aspect
Compass direction of the terrain slope. Categorical, with levels N, NE, E, SE, S, SW, W and NW, which are coded as integers 1 to 8.
elevation
Digital elevation of terrain, in metres.
heat
Heat Load Index at each point on the surface (Beer's aspect), discretised. Categorical with values Warmest (Beer's aspect between 0 and 0.999), Moderate (Beer's aspect between 1 and 1.999), Coolest (Beer's aspect equals 2). These are coded as integers 1, 2 and 3, in that order.
slopangle
Terrain slope, in degrees.
slopetype
Type of slope. Categorical, with values Valley, Toe (toe slope), Flat, Midslope, Upper and Ridge. These are coded as integers 1 to 6.
vegetation
Vegetation type: a categorical variable with 6 levels coded as integers 1 to 6 (in order of increasing expected habitat suitability)
waterdist
Euclidean distance from nearest water body, in metres.
plotsample
Plot sample of gorilla nests, sampling 9x9 over the region, with 60\
counts
A SpatialPointsDataFrame frame with elements x
, y
, count
,
exposure
, being the x- and y-coordinates of the centre of each plot, the count in each
plot and the area of each plot.
plots
A SpatialPolygonsDataFrame
defining the individual plot boundaries.
nests
A SpatialPointsDataFrame
giving the locations of each detected nest.
Library spatstat.data
.
Funwi-Gabga, N. (2008) A pastoralist survey and fire impact assessment in the Kagwene Gorilla Sanctuary, Cameroon. M.Sc. thesis, Geology and Environmental Science, University of Buea, Cameroon.
Funwi-Gabga, N. and Mateu, J. (2012) Understanding the nesting spatial behaviour of gorillas in the Kagwene Sanctuary, Cameroon. Stochastic Environmental Research and Risk Assessment 26 (6), 793-811.
if (bru_safe_inla() &&
bru_safe_sp() &&
require("sp") &&
require(ggplot2, quietly = TRUE)) {
data(gorillas, package = "inlabru") # get the data
# plot all the nests, mesh and boundary
ggplot() +
gg(gorillas$mesh) +
gg(gorillas$boundary) +
gg(gorillas$nests)
# Plot the elevation covariate
plot(gorillas$gcov$elevation)
# Plot the plot sample
ggplot() +
gg(gorillas$plotsample$plots) +
gg(gorillas$plotsample$nests)
}
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