This function constructs a data frame with number of columns equal to the number of clusters. Each column is a binary representation of one of the clusters. The position i of the column is equal to 1 if the polygon i is in the cluster or 0 if it is not in the cluster.

`knbinary(datamap, knresults)`

datamap

data of the SpatialPolygonsDataFrame with the polygons of the map.

knresults

data frame with information of the detected clusters. Each row represents the information of one of the clusters. It contains the coordinates of the center, the size, the start and end dates, the log-likelihood ratio, a boolean indicating if it is a cluster (TRUE in all cases), and the p-value of the cluster.

data frame where the columns represent the clusters in binary format. The position i of the column is equal to 1 if the polygon i is in the cluster or 0 if it is not in the cluster.

# NOT RUN { library("DClusterm") library("RColorBrewer") data("NY8") data("NY8_clusters") stcl <- knbinary(NY8, ny.cl1) #Get first cluster NY8$CLUSTER <- stcl[, 1] #Plot cluster spplot(NY8, "CLUSTER", at = c(0, 0.5, 1.5), col = "#4D4D4D", col.regions = c("white", "gray")) # }