NetLogoR (version 0.3.11)

diffuse: Diffuse values in a world

Description

Each patch gives an equal share of a portion of its value to its neighbor patches.

Usage

diffuse(world, pVar, share, nNeighbors, torus = FALSE)
# S4 method for worldMatrix,missing,numeric,numeric
diffuse(world, share, nNeighbors, torus)
# S4 method for worldArray,character,numeric,numeric
diffuse(world, pVar, share, nNeighbors, torus = FALSE)

Value

WorldMatrix or worldArray object with patches values updated.

Arguments

world

WorldMatrix or worldArray object.

pVar

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.

share

Numeric. Value between 0 and 1 representing the portion of the patches values to be diffused among the neighbors.

nNeighbors

Integer: 4 or 8. Represents the number of neighbor patches considered.

torus

Logical to determine if the world is wrapped. Default is torus = FALSE.

Author

Sarah Bauduin

Details

What is given is lost for the patches.

     If `torus = TRUE`, all `patches` have `nNeighbors` `patches` around
     them, which
     some may be on the other sides of the `world`. If `torus = FALSE`,
     `patches` located on the edges of the `world` have less than
     `nNeighbors` `patches` around them.
     However, each neighbor still gets 1/4 or 1/8 of the shared amount
     and the diffusing
     patch keeps the leftover.

References

Wilensky, U. 1999. NetLogo. http://ccl.northwestern.edu/netlogo/. Center for Connected Learning and Computer-Based Modeling, Northwestern University. Evanston, IL.

See Also

https://ccl.northwestern.edu/netlogo/docs/dictionary.html#diffuse

     <https://ccl.northwestern.edu/netlogo/docs/dictionary.html#diffuse4>

Examples

w1 <- createWorld(minPxcor = 0, maxPxcor = 4, minPycor = 0, maxPycor = 4,
                          data = sample(1:3, size = 25, replace = TRUE))
plot(w1)
# Diffuse 50% of each patch value to its 8 neighbors
w2 <- diffuse(world = w1, share = 0.5, nNeighbors = 8)
plot(w2)