assign.data {osc} | R Documentation |
After clustering assign additional data from a data frame with columns indicated as latitude and longitude.
assign.data(cluster, points, dist=1000)
cluster |
The from cca() generated data frame with cluster-information. |
points |
Data frame with additional data, containing at least a "lat" and "long" column with point coordinates which will be assigned. |
dist |
The assignment distance given in meters. Are the given point coordinates within this distance from an identified cluster, this point will be assigned to the cluster. |
Multiple points can be assigned to the same cluster. If no cluster is within the given distance, the cluster_id will be 0.
Returns the data frame given as points with an additional column "cluster_id" referring to the identified cluster. A cluster_id 0 indicates that no cluster was within the given distance.
data(landcover) # clustering urban areas urban <- cca(landcover, cell.class=1,s=2000, unit="m") str(urban) # plot the result result <- landcover*NA result[cellFromXY(result,urban$cluster[,c("long","lat")])]<-urban$cluster[,"cluster_id"]*(-1) plot(result, col=rainbow(9)) # data.frame with additional information (name) data.points <- data.frame( long=c(13.26,13.28), lat=c(52.34,52.20), name=c("Pappelhausen","New Garden") ) points(data.points$long, data.points$lat, pch="X") assign.data(cluster=urban$cluster, points=data.points, dist=3000)