diff --git a/demo/regional.R b/demo/regional.R
new file mode 100755
index 0000000..067e3e2
--- /dev/null
+++ b/demo/regional.R
@@ -0,0 +1,96 @@
+#!/usr/bin/Rscript
+library(RKorAPClient)
+library(ggplot2)
+library(raster)
+library(broom)
+library(plotly)
+library(htmlwidgets)
+
+devAskNewPage(ask = FALSE)
+mapfile <- "demo/data/cache/map-v2.rds"
+
+fetchAndPrepareMap <- function(map, pick) {
+  cat("Downloading GADM map data for ", map, "\n")
+  sp <- readRDS(url(sprintf("https://biogeo.ucdavis.edu/data/gadm3.6/Rsp/gadm36_%s_sp.rds", map)))
+  if (pick > 0) {
+    sp@polygons <- sp@polygons[pick]
+    sp@data <- sp@data[pick,]
+  }
+  sp
+}
+
+fetchMaps <- function(maps, picks) {
+  if (file.exists(mapfile)) {
+    df <- readRDS(mapfile)
+  } else {
+    cat("Downloading and caching GADM map data.\nPlease note that the GADM map data is licensed for academic use and other non-commercial use, only.\nSee https://gadm.org/license.html\n")
+    df <- broom::tidy(Reduce(bind, mapply(fetchAndPrepareMap, maps, picks)))
+    dir.create(dirname(mapfile), recursive = TRUE, showWarnings = FALSE)
+    saveRDS(df, mapfile)
+  }
+  df$grp <- floor(as.numeric(as.character(df$group)))
+  df
+}
+
+map <- fetchMaps(c("DEU_1", "AUT_0", "CHE_0", "LUX_0", "BEL_3", "ITA_1", "LIE_0"), c(0, 0, 0, 0, 34, 17, 0))
+
+geoDistrib <- function(query, kco = new("KorAPConnection", verbose=TRUE)) {
+  regions <- readRDS("demo/data/regions.rds")
+  regions$freq <- NA
+  regions$url <- NA
+  plot <- NULL
+  vc <- ""
+  for (i in 1:nrow(regions)) {
+    if (!is.na(regions[i,]$query)) {
+      cat(as.character(regions[i,]$region), "\n")
+      regions[i,]$total <- corpusStats(kco, vc=paste0(vc, regions[i,]$query))@tokens
+      if (regions[i,]$total == 0) {
+        regions[i,]$afreq <- 0
+        regions[i,]$freq <- NA
+      } else {
+        kqo <- corpusQuery(kco, query, vc=paste0(vc, regions[i,]$query))
+        regions[i,]$afreq <- kqo@totalResults
+        regions[i,]$freq <- regions[i,]$afreq / regions[i,]$total
+        regions[i,]$url <- kqo@webUIRequestUrl
+      }
+      cat(regions[i,]$afreq, regions[i,]$total, regions[i,]$freq, "\n")
+      plot <- updatePlot(query, map, regions)
+      cat("\n\n")
+    }
+  }
+  pp <- ggplotly(plot)
+  for (i in 1:nrow(regions)) {
+    j <- grep(paste0(regions$region[i], "\""), pp$x$data, perl=TRUE)
+    pp$x$data[[j]]$customdata <- regions[i,]$url
+  }
+  ppp <- onRender(pp, "function(el, x) { el.on('plotly_click', function(d) { var url=d.points[0].data.customdata; window.open(url, 'korap') })}")
+  print(ppp)
+  pp
+}
+
+updatePlot <- function(query, map, regions) {
+  map$ipm <- sapply(map$grp, function(grp) regions$freq[grp] * 10^6)
+  map$region <- sapply(map$grp, function(grp) regions$region[grp])
+  map$url <- sapply(map$grp, function(grp) regions$url[grp])
+  regionsPlot <- ggplot(map) +
+    geom_polygon(aes(x=long, y=lat, group=group, fill=ipm, text=region), colour= "black", size=.1) +
+    theme(axis.line.x = element_blank(),
+          axis.line.y = element_blank(),
+          panel.grid.major = element_blank(),
+          panel.grid.minor = element_blank(),
+          panel.border = element_blank(),
+          panel.background = element_blank(),
+          axis.line=element_blank(),axis.text.x=element_blank(),
+          axis.text.y=element_blank(),axis.ticks=element_blank(),
+          axis.title.x=element_blank(),
+          axis.title.y=element_blank()) +
+    coord_equal(ratio=1.5) +
+    labs(title = sprintf("Regional distribution of \u201c%s\u201d", query))
+  print(regionsPlot)
+  regionsPlot
+}
+
+#geoDistrib("wegen dem [tt/p=NN]")
+geoDistrib("heuer")
+#geoDistrib("Sonnabend")
+#geoDistrib("eh")