align2D | R Documentation |
Find the linear transformation which, applied to one set of points in the ($x$, $y$) plane, gives the best match in a least squares sense to a second set of points.
align2D(lat, long, x1, x2, wts=NULL)
lat |
Latitude or other co-ordinate of point to align to |
long |
Longitude or other co-ordinate of point to align to |
x1 |
First coordinate of point to align |
x2 |
First coordinate of point to align |
wts |
If non-NULL, specifies weights for the points. |
Achieves the best match, in a least squares sense, between an ordination and known locations in two-dimensionaL space.
fitlat |
Fitted values of |
fitlong |
Fitted values of |
lat |
Input values of |
long |
Input values of |
An ordination that is designed to reproduce distances between points is specified only to within an arbitrary rotation about the centroid. What linear transformation of the points ($x1$, $x2$) given by the ordination gives the best match to the known co-ordinates?
John H Maindonald
if(require(DAAG)&require(oz)){
aupts <- cmdscale(audists)
xy <- align2D(lat = aulatlong$latitude, long = aulatlong$longitude,
x1 = aupts[, 1], x2 = aupts[, 2], wts = NULL)
oz()
fitcoords <- align2D(lat=aulatlong$latitude,
long=aulatlong$longitude,
x1=aupts[,1], x2 = aupts[,2],
wts=NULL)
x <-with(fitcoords,
as.vector(rbind(lat, fitlat, rep(NA,length(lat)))))
y <-with(fitcoords,
as.vector(rbind(long, fitlong, rep(NA,length(long)))))
points(aulatlong, col="red", pch=16, cex=1.5)
lines(x, y, col="gray40", lwd=3)
}
## The function is currently defined as
function(lat, long, x1, x2, wts=NULL){
## Get best fit in space of (latitude, longitude)
if(is.null(wts))wts <- rep(1,length(x1))
fitlat <- predict(lm(lat ~ x1+x2, weights=wts))
fitlong <- predict(lm(long ~ x1+x2, weights=wts))
list(fitlat = fitlat, fitlong=fitlong, lat=lat, long=long)
}
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