org.dstadler.ctw.geojson.CreateLargestClusterGeoJSONTiles Maven / Gradle / Ivy
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Read GPX tracks and produce a world-map with covered tiles.
package org.dstadler.ctw.geojson;
import static org.dstadler.ctw.gpx.CreateListOfVisitedSquares.VISITED_TILES_TXT;
import java.io.BufferedWriter;
import java.io.File;
import java.io.FileWriter;
import java.io.IOException;
import java.io.Writer;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Comparator;
import java.util.HashSet;
import java.util.Iterator;
import java.util.List;
import java.util.Set;
import java.util.logging.Logger;
import java.util.stream.Collectors;
import org.apache.commons.io.FileUtils;
import org.dstadler.commons.logging.jdk.LoggerFactory;
import org.dstadler.ctw.utils.OSMTile;
import com.github.filosganga.geogson.model.Feature;
import com.google.common.base.Preconditions;
/**
* Small application to compute the largest cluster of tiles
* defined as all connected tiles where each of the four
* neighbouring tiles are covered as well.
*
* This is computed by searching for tiles with four neighbours
* and then expanding the cluster out as far as possible.
*
* Results are stored in a TXT file for easy diffing via version
* control and a JS file which can be used as overlay layer in a
* Leaflet-based HTML page.
*/
public class CreateLargestClusterGeoJSONTiles {
private static final Logger log = LoggerFactory.make();
public static final String LARGEST_CLUSTER_TILES_JSON = "js/LargestClusterTiles.js";
public static final String LARGEST_CLUSTER_TILES_TXT = "txt/LargestClusterTiles.txt";
public static void main(String[] args) throws IOException {
LoggerFactory.initLogging();
log.info("Computing largest cluster tiles");
List> clusters = computeLargestCluster();
clusters.sort(Comparator.
comparingInt((List o) -> o.size()).
thenComparingInt(List::hashCode));
log.info("Found " + clusters.size() + " cluster, top 5: \n" +
clusters.
// print the top 5
subList(clusters.size() < 6 ? 0 : clusters.size() - 6, clusters.size() < 1 ? 0 : clusters.size() - 1).
stream().
// convert to string
map(r -> r.size() + ": " + r).
// print on separate lines
collect(Collectors.joining("\n")));
if (clusters.isEmpty()) {
log.info("Did not find any clusters for tiles");
GeoJSON.writeGeoJavaScript(LARGEST_CLUSTER_TILES_JSON, "largesttiles", Collections.emptyList());
FileUtils.writeStringToFile(new File(LARGEST_CLUSTER_TILES_TXT), "", "UTF-8");
return;
}
// build the GeoJSON features from the larges cluster
List features = new ArrayList<>();
List largestCluster = clusters.get(clusters.size() - 1);
largestCluster.sort(Comparator.naturalOrder());
for (OSMTile tile : largestCluster) {
features.add(GeoJSON.createSquare(tile.getRectangle(),
"Largest Cluster: " + largestCluster.size() + " tiles"));
}
// finally write out JavaScript code with embedded GeoJSON
GeoJSON.writeGeoJavaScript(LARGEST_CLUSTER_TILES_JSON, "largesttiles", features);
// also write the file in pure JSON for use in later steps
GeoJSON.writeGeoJSON(GeoJSON.getJSONFileName(LARGEST_CLUSTER_TILES_JSON), features);
// create list of latLngBounds for SVG elements to overlay
try (Writer writer = new BufferedWriter(new FileWriter(LARGEST_CLUSTER_TILES_TXT))) {
for (OSMTile tile : largestCluster) {
writer.write(tile.toCoords());
writer.write('\n');
}
}
}
private static List> computeLargestCluster() throws IOException {
List> clusters = new ArrayList<>();
Set tiles = OSMTile.readTiles(new File(VISITED_TILES_TXT));
Preconditions.checkState(tiles.size() > 0,
"Did not read any tiles from " + VISITED_TILES_TXT);
Set allTiles = new HashSet<>(tiles);
// check each tile
while (tiles.size() > 0) {
Iterator it = tiles.iterator();
OSMTile tile = it.next();
// remove this entry as we either add it to a cluster or discard it
// if it is not connected 4 times
it.remove();
// connected on four sides?
if (partOfCluster(allTiles, tile)) {
// add to a cluster or create a new one
boolean found = false;
List foundCluster = null;
for (List cluster : clusters) {
if (isAdjacent(cluster, tile)) {
//log.info("Tile: " + tile + ": cluster: " + cluster);
cluster.add(tile);
found = true;
foundCluster = cluster;
break;
}
}
if (!found) {
log.info("Found tile in new cluster: " + tile);
List cluster = new ArrayList<>();
cluster.add(tile);
clusters.add(cluster);
foundCluster = cluster;
} else {
log.info("Found tile in existing cluster: " + tile);
}
extendCluster(tiles, allTiles, foundCluster);
}
}
return clusters;
}
private static void extendCluster(Set tiles, Set allTiles, List foundCluster) {
// extend this cluster as far as possible to speed up
// processing and avoid disconnected clusters
while (true) {
int count = 0;
Iterator it = tiles.iterator();
while (it.hasNext()) {
OSMTile tile = it.next();
// if this tile has 4 neighbours and is adjacent to
// the current cluster, then add it
if (partOfCluster(allTiles, tile) && isAdjacent(foundCluster, tile)) {
foundCluster.add(tile);
it.remove();
count++;
}
}
if (count == 0) {
break;
}
log.info("Added " + count + " additional tiles to the cluster");
}
}
private static boolean isAdjacent(List cluster, OSMTile ref) {
return cluster.contains(ref.up()) ||
cluster.contains(ref.down()) ||
cluster.contains(ref.right()) ||
cluster.contains(ref.left());
}
private static boolean partOfCluster(Set tiles, OSMTile ref) {
return tiles.contains(ref.up()) &&
tiles.contains(ref.down()) &&
tiles.contains(ref.right()) &&
tiles.contains(ref.left());
}
}
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