use of com.google.maps.android.geometry.Point in project cw-omnibus by commonsguy.
the class PointQuadTree method add.
/**
* Insert an item.
*/
public void add(T item) {
Point point = item.getPoint();
insert(point.x, point.y, item);
}
use of com.google.maps.android.geometry.Point in project android-maps-utils by googlemaps.
the class GridBasedAlgorithm method getClusters.
@Override
public Set<? extends Cluster<T>> getClusters(double zoom) {
long numCells = (long) Math.ceil(256 * Math.pow(2, zoom) / GRID_SIZE);
SphericalMercatorProjection proj = new SphericalMercatorProjection(numCells);
HashSet<Cluster<T>> clusters = new HashSet<Cluster<T>>();
LongSparseArray<StaticCluster<T>> sparseArray = new LongSparseArray<StaticCluster<T>>();
synchronized (mItems) {
for (T item : mItems) {
Point p = proj.toPoint(item.getPosition());
long coord = getCoord(numCells, p.x, p.y);
StaticCluster<T> cluster = sparseArray.get(coord);
if (cluster == null) {
cluster = new StaticCluster<T>(proj.toLatLng(new Point(Math.floor(p.x) + .5, Math.floor(p.y) + .5)));
sparseArray.put(coord, cluster);
clusters.add(cluster);
}
cluster.add(item);
}
}
return clusters;
}
use of com.google.maps.android.geometry.Point in project wigle-wifi-wardriving by wiglenet.
the class PointQuadTreeTest method testVeryDeepTree.
/**
* Tests 30,000 items at the same point.
* Timing results are averaged.
*/
public void testVeryDeepTree() {
for (int i = 0; i < 30000; i++) {
mTree.add(new Item(0, 0));
}
assertEquals(30000, searchAll().size());
assertEquals(30000, mTree.search(new Bounds(0, .1, 0, .1)).size());
assertEquals(0, mTree.search(new Bounds(.1, 1, .1, 1)).size());
mTree.clear();
}
use of com.google.maps.android.geometry.Point in project wigle-wifi-wardriving by wiglenet.
the class DefaultClusterRenderer method findClosestCluster.
private static Point findClosestCluster(List<Point> markers, Point point) {
if (markers == null || markers.isEmpty())
return null;
// TODO: make this configurable.
double minDistSquared = MAX_DISTANCE_AT_ZOOM * MAX_DISTANCE_AT_ZOOM;
Point closest = null;
for (Point candidate : markers) {
double dist = distanceSquared(candidate, point);
if (dist < minDistSquared) {
closest = candidate;
minDistSquared = dist;
}
}
return closest;
}
use of com.google.maps.android.geometry.Point in project android-maps-utils by googlemaps.
the class HeatmapTileProvider method getMaxValue.
/**
* Calculate a reasonable maximum intensity value to map to maximum color intensity
*
* @param points Collection of LatLngs to put into buckets
* @param bounds Bucket boundaries
* @param radius radius of convolution
* @param screenDim larger dimension of screen in pixels (for scale)
* @return Approximate max value
*/
static double getMaxValue(Collection<WeightedLatLng> points, Bounds bounds, int radius, int screenDim) {
// Approximate scale as if entire heatmap is on the screen
// ie scale dimensions to larger of width or height (screenDim)
double minX = bounds.minX;
double maxX = bounds.maxX;
double minY = bounds.minY;
double maxY = bounds.maxY;
double boundsDim = (maxX - minX > maxY - minY) ? maxX - minX : maxY - minY;
// Number of buckets: have diameter sized buckets
int nBuckets = (int) (screenDim / (2 * radius) + 0.5);
// Scaling factor to convert width in terms of point distance, to which bucket
double scale = nBuckets / boundsDim;
// Make buckets
// Use a sparse array - use LongSparseArray just in case
LongSparseArray<LongSparseArray<Double>> buckets = new LongSparseArray<LongSparseArray<Double>>();
// double[][] buckets = new double[nBuckets][nBuckets];
// Assign into buckets + find max value as we go along
double x, y;
double max = 0;
for (WeightedLatLng l : points) {
x = l.getPoint().x;
y = l.getPoint().y;
int xBucket = (int) ((x - minX) * scale);
int yBucket = (int) ((y - minY) * scale);
// Check if x bucket exists, if not make it
LongSparseArray<Double> column = buckets.get(xBucket);
if (column == null) {
column = new LongSparseArray<Double>();
buckets.put(xBucket, column);
}
// Check if there is already a y value there
Double value = column.get(yBucket);
if (value == null) {
value = 0.0;
}
value += l.getIntensity();
// Yes, do need to update it, despite it being a Double.
column.put(yBucket, value);
if (value > max)
max = value;
}
return max;
}
Aggregations