Move the turtles to their neighboring patch with the lowest value.
downhill(world, pVar, turtles, nNeighbors, torus = FALSE)
# S4 method for worldMatrix,missing,agentMatrix,numeric
downhill(world, turtles, nNeighbors, torus)
# S4 method for worldArray,character,agentMatrix,numeric
downhill(world, pVar, turtles, nNeighbors, torus = FALSE)WorldMatrix or worldArray object.
Character. If the world is a worldArray object, pVar
is the name of the layer to use to define the patches values.
pVar must not be provided if the world is a worldMatrix object.
AgentMatrix object representing the moving agents.
Integer: 4 or 8. Represents the number of neighbor patches
considered.
Logical to determine if the world is wrapped. Default is
torus = FALSE.
AgentMatrix representing the turtles with updated
coordinates and updated data for their heading values and
previous coordinates prevX
and prevY.
If no neighboring patch has a smaller value than the patch where the
turtle is currently located on, the turtle stays on this patch. It still
moves to the patch center if it was not already on it.
If there are multiple neighboring `patches` with the same lowest value,
the `turtle` chooses one `patch` randomly.
If a `turtle` is located on a `patch` on the edge
of the `world` and `torus = FALSE`, it has fewer
neighboring `patches` as options to move than `nNeighbors`; if
`torus = TRUE`, the `turtle` can move on the other side of the `world` to
move downhill and its choice of neighboring `patches` is always equals to
`nNeighbors`.Wilensky, U. 1999. NetLogo. http://ccl.northwestern.edu/netlogo/. Center for Connected Learning and Computer-Based Modeling, Northwestern University. Evanston, IL.
w1 <- createWorld(
minPxcor = 1, maxPxcor = 10, minPycor = 1, maxPycor = 10,
data = runif(100)
)
t1 <- createTurtles(n = 10, coords = randomXYcor(w1, n = 10))
plot(w1)
points(t1, col = of(agents = t1, var = "color"), pch = 16)
if (requireNamespace("SpaDES.tools", quietly = TRUE)) {
t1 <- downhill(world = w1, turtles = t1, nNeighbors = 8)
points(t1, col = of(agents = t1, var = "color"), pch = 16)
}