#'
#' Measures the semantic footprint of a term (computed over place-keyword matrix)
#'
#' @export
semantic_footprint = function(mat, term, coords) {
vec = mat[,term]
vec = vec[vec > 0]
vec = vec[names(vec) %in% coords[,"NAME"]]
hits = which(coords[,"NAME"] %in% names(vec))
vec = vec[coords[hits,"NAME"]]
mean_lon = sum(coords[hits,"LON"] * vec[vec > 0]) / sum(vec)
mean_lat = sum(coords[hits,"LAT"] * vec[vec > 0]) / sum(vec)
distances = c()
for (i in hits) {
lat = coords[i,"LAT"]
lon = coords[i,"LON"]
d = great_circle_distance(lon1 = mean_lon,
lat1 = mean_lat,
lon2 = lon,
lat2 = lat)
distances = c(distances,d)
}
mean_dist = sum(distances * vec) / sum(vec)
sd_dist = sd(distances)
results = list()
results$n = length(vec)
results$freq = sum(vec)
results$sd = sd(vec)
results$lon = mean_lon
results$lat = mean_lat
results$radius = mean_dist
results$stdev = sd_dist
return(results)
}
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