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scan.nn determines the nearest
neighbors for a set of observations based on the
distance matrix according to a population-based
upperbound.
nnpop(d, pop, ubpop)scan.nn(d, pop, ubpop)
Returns the indices of the nearest neighbors as a list. For each element of the list, the indices are ordered from nearest to farthest from each centroid.
An
The population size associated with each region.
The upperbound of the proportion of the total population to consider for a cluster.
Joshua French
This function determines the nearest neighbors of each
centroid based on the intercentroid distance. The number
of nearest neighbors is limited by the sum of the
population values among the nearest neighbors. The set
of nearest neighbors can contain no more than ubpop
* sum(pop) members of the population. The nearest
neighbors are ordered from nearest to farthest.
data(nydf)
coords <- as.matrix(nydf[, c("longitude", "latitude")])
d <- as.matrix(dist(coords))
nn <- scan.nn(d, pop = nydf$pop, ubpop = 0.1)
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