sHexDist {supraHex} | R Documentation

## Function to calculate distances between hexagons/rectangles in a 2D grid

### Description

`sHexDist` is supposed to calculate euclidian distances between each pair of hexagons/rectangles in a 2D grid of input "sTopol" or "sMap" object. It returns a symmetric matrix containing pairwise distances.

### Usage

    sHexDist(sObj)

### Arguments

`sObj` | an object of class "sTopol" or "sInit" or "sMap"

### Value

- `dist`: a symmetric matrix of nHex x nHex, containing pairwise distances, where nHex is the total number of hexagons/rectanges in the grid

### Note

The return matrix has rows/columns ordered in the same order as the "coord" matrix of the input object does.

### See Also

`sTopology`, `sInitial`

### Examples

    # 1) generate an iid normal random matrix of 100x10
    data <- matrix( rnorm(100*10,mean=0,sd=1), nrow=100, ncol=10)

    # 2) from this input matrix, determine nHex=5*sqrt(nrow(data))=50,
    # but it returns nHex=61, via "sHexGrid(nHex=50)", to make sure a supra-hexagonal grid
    sTopol <- sTopology(data=data, lattice="hexa", shape="suprahex")

    # 3) initialise the codebook matrix using "uniform" method
    sI <- sInitial(data=data, sTopol=sTopol, init="uniform")

    # 4) calculate distances between hexagons/rectangles in a 2D grid based on different objects
    # 4a) based on an object of class "sTopol"
    dist <- sHexDist(sObj=sTopol)
    # 4b) based on an object of class "sMap"
    dist <- sHexDist(sObj=sI)

[Package supraHex version 1.18.0 Index]