<<<<<<< HEAD Neighbors patches — neighbors • NetLogoR

Report the coordinates of the neighbors patches around the agents.

neighbors(world, agents, nNeighbors, torus = FALSE)

# S4 method for worldNLR,matrix,numeric
neighbors(world, agents, nNeighbors, torus = FALSE)

## Arguments

world

WorldMatrix or worldArray object.

agents

Matrix (ncol = 2) with the first column pxcor and the second column pycor representing the patches coordinates, or

AgentMatrix object representing the moving agents.

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.

## Value

Matrix (ncol = 3) with the first column pxcor

and the second column pycor representing the coordinates of the neighbors patches around the agents and the third column id representing the id of the agents in the order provided.

## Details

The patch around which the neighbors are identified, or the patch where the turtle is located on around which the neighbors are identified, is not returned.

If torus = FALSE, agents located on the edges of the

world have less than nNeighbors patches around them.

If torus = TRUE, all agents located on the edges of the

world have nNeighbors patches around them,

which some may be on the other sides of the world.

## References

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

Sarah Bauduin

## Examples

w1 <- createWorld(minPxcor = 0, maxPxcor = 9, minPycor = 0, maxPycor = 9)
if (requireNamespace("SpaDES.tools", quietly = TRUE)) {
neighbors(world = w1, agents = patch(w1, c(0, 9), c(0, 7)), nNeighbors = 8)
t1 <- createTurtles(n = 3, coords = randomXYcor(w1, n = 3))
neighbors(world = w1, agents = t1, nNeighbors = 4)
}
#>       pxcor pycor id
#>  [1,]     9     5  1
#>  [2,]     8     4  1
#>  [3,]     9     3  1
#>  [4,]     9     8  2
#>  [5,]     8     7  2
#>  [6,]     9     6  2
#>  [7,]     9     3  3
#>  [8,]     8     2  3
#>  [9,]     9     1  3

======= Neighbors patches — neighbors • NetLogoR

Report the coordinates of the neighbors patches around the agents.

neighbors(world, agents, nNeighbors, torus = FALSE)

# S4 method for worldNLR,matrix,numeric
neighbors(world, agents, nNeighbors, torus = FALSE)

## Arguments

world

WorldMatrix or worldArray object.

agents

Matrix (ncol = 2) with the first column pxcor and the second column pycor representing the patches coordinates, or

AgentMatrix object representing the moving agents.

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.

## Value

Matrix (ncol = 3) with the first column pxcor

and the second column pycor representing the coordinates of the neighbors patches around the agents and the third column id representing the id of the agents in the order provided.

## Details

The patch around which the neighbors are identified, or the patch where the turtle is located on around which the neighbors are identified, is not returned.

If torus = FALSE, agents located on the edges of the
world have less than nNeighbors patches around them.
If torus = TRUE, all agents located on the edges of the
world have nNeighbors patches around them,
which some may be on the other sides of the world.

## References

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

Sarah Bauduin

## Examples

w1 <- createWorld(minPxcor = 0, maxPxcor = 9, minPycor = 0, maxPycor = 9)
if (requireNamespace("SpaDES.tools", quietly = TRUE)) {
neighbors(world = w1, agents = patch(w1, c(0, 9), c(0, 7)), nNeighbors = 8)
t1 <- createTurtles(n = 3, coords = randomXYcor(w1, n = 3))
neighbors(world = w1, agents = t1, nNeighbors = 4)
}
#>       pxcor pycor id
#>  [1,]     4     8  1
#>  [2,]     3     7  1
#>  [3,]     5     7  1
#>  [4,]     4     6  1
#>  [5,]     7     1  2
#>  [6,]     6     0  2
#>  [7,]     8     0  2
#>  [8,]     1     5  3
#>  [9,]     0     4  3
#> [10,]     2     4  3
#> [11,]     1     3  3

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