# crossDist: Computed the Euclidian Distance Matrix In SpatioTemporal: Spatio-Temporal Model Estimation

## Description

Computed the Euclidian distance matrix between to sets of points.

## Usage

 `1` ```crossDist(coord1, coord2 = coord1) ```

## Arguments

 `coord1, coord2` Matrices with the coordinates of locations, between which distances are to be computed.

## Value

A `dim(coord1)[1]`-by-`dim(coord2)[1]` distance matrix.

## Author(s)

Johan Lindstrom

Other covariance functions: `evalCovFuns`, `makeSigmaB`, `makeSigmaNu`, `namesCovFuns`, `parsCovFuns`, `updateCovf`
Other basic linear algebra: `blockMult`, `makeCholBlock`, `norm2`, `sumLogDiag`
 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16``` ```##First create some random locations x <- rnorm(5) y <- rnorm(5) ##compute distance matrix D <- crossDist( cbind(x,y) ) ##or distance between different locations X <- matrix(rnorm(6),3,2) Y <- rbind(X, matrix(rnorm(8),4,2)) Dcross <- crossDist(X, Y) ##or distances between coordinates in R3 C1 <- matrix(rnorm(9),3,3) C2 <- matrix(rnorm(12),4,3) Dcross.R3 <- crossDist(C1, C2) ```