grainscape
objectsPlot quick visualizations of mpg
, grain
, and corridor
objects.
This function is intended to get a quick look at the state of a grainscape
object by rendering what are likely to be the most universally useful
visualizations of the spatial data within these objects.
Much more control is available using ggGS
with ggplot
enabling the layering of different different analytical products, and the
visualization of node and link attributes.
For highresolution visualization and the greatest level of control use
export
to export spatial objects for cartographic representation
in a geographic information system (GIS).
# S4 method for corridor,ANY plot(x, y, quick = NULL, print = TRUE, theme = TRUE, ...) # S4 method for grain,ANY plot(x, y, quick = NULL, print = TRUE, theme = TRUE, ...) # S4 method for mpg,ANY plot(x, y, quick = NULL, print = TRUE, theme = TRUE, ...)
x  A 

y  Ignored. 
quick  If 
Render the 

theme  Apply grainscape theme and scale aesthetics. Default is 
...  Additional arguments (not used). 
Invisably, a ggplot2
object to which additional ggplot
geoms adn adjustments can be applied. Has the side effect of
rendering the plot, unless print = FALSE
.
"mpgPerimPlot"
gives a a vector rendering of the minimum planar
graph with vector links connecting the perimeters of the patches. This
doesn't accurately represent the sinuosity of paths of the links between patches
but offers a good approximation that renders better at large extents.
Default for mpg
objects. Not available for other objects.
"mpgPlot"
gives a rasteronly rendering of the minimum planar graph
where patchId
are positive integers, and linkId
are negative
integers showing the shortest paths between patches Only available for
mpg
objects.
"network"
gives a vector rendering of the minimum planar graph or
the grains of connectivity network with nodes and links plotted at the
patch or polygon centroid locations. Available for mpg
and grain
objects. Default for grain
objects.
"grainPlot"
gives a raster and vector rendering of the grains of
connectivity network with nodes and links plotted at polygon centroid locations,
superimposed over the boundaries of the Voronoi polygons. Can be time
consuming on large rasters due to the Voronoi boundary extraction.
Only available for grain
objects.
"corridorPlot"
renders the output of a corridor
analysis.
It is the only option available with corridor
objects and the default.
ggGS
,
export
,
corridor
,
grain
,
mpg
# NOT RUN { ## Load raster landscape tiny < raster(system.file("extdata/tiny.asc", package = "grainscape")) ## Create a resistance surface from a raster using an isbecomes reclassification tinyCost < reclassify(tiny, rcl = cbind(c(1, 2, 3, 4), c(1, 5, 10, 12))) ## Produce a patchbased MPG where patches are resistance features=1 tinyPatchMPG < MPG(cost = tinyCost, patch = (tinyCost == 1)) ## Produce a grains of connectivity model tinyPatchGOC < GOC(tinyPatchMPG, nThresh = 5) ## MPG and showing simplified links among the perimeters of patches plot(tinyPatchMPG) ## MPG showing links among the nodes of connected patches plot(tinyPatchMPG, quick = "network") ## MPG showing the shortest paths between patches actually used to ## to calculate link weight values plot(tinyPatchMPG, quick = "mpgPlot") ## A grain of connectivity network plot with Voronoi boundaries plot(grain(tinyPatchGOC, 3), quick = "grainPlot") ## Capture plot output for further processing with ggplot g < plot(tinyPatchMPG, print = FALSE, theme = FALSE) g < g + theme_minimal() + ggtitle("Minimum planar graph") + theme(plot.title = element_text(size=20, hjust = 0.5)) + theme(legend.position = "none") + xlab("Easting") + ylab("Northing") g ## To change aesthetics it is best to build the plot from scratch ## using grainscape::ggGS(). See examples therein. # }