use of org.activityinfo.legacy.shared.reports.model.MapSymbol in project activityinfo by bedatadriven.
the class PiechartLayerGenerator method generatePoints.
public void generatePoints(TiledMap map, PiechartMapLayer layer, Clusterer clusterer, List<PointValue> mapped, List<PointValue> unmapped) {
for (SiteDTO site : sites) {
if (hasValue(site, layer.getIndicatorIds())) {
Point px = null;
if (site.hasLatLong()) {
px = map.fromLatLngToPixel(new AiLatLng(site.getLatitude(), site.getLongitude()));
}
Double value = getValue(site, layer.getIndicatorIds());
if (value != null && value != 0) {
PointValue pv = new PointValue(site, new MapSymbol(), value, px);
calulateSlices(pv, site);
if (clusterer.isMapped(site)) {
mapped.add(pv);
} else {
unmapped.add(pv);
}
}
}
}
}
use of org.activityinfo.legacy.shared.reports.model.MapSymbol in project activityinfo by bedatadriven.
the class CoincidentPointsClusterTest method testRealData.
@Test
public void testRealData() throws Exception {
// Define projection for the test case
TiledMap map = new TiledMap(492, 690, new AiLatLng(2.293492496, 30.538372993), 9);
// Read data
BufferedReader in = new BufferedReader(new InputStreamReader(GraphTest.class.getResourceAsStream("/distribscolaire-points.csv")));
double originalSum = 0;
List<PointValue> points = new ArrayList<PointValue>();
while (in.ready()) {
String line = in.readLine();
String[] columns = line.split(",");
double lat = Double.parseDouble(columns[0]);
double lng = Double.parseDouble(columns[1]);
PointValue pv = new PointValue();
pv.setPx(map.fromLatLngToPixel(new AiLatLng(lat, lng)));
pv.setValue(Double.parseDouble(columns[2]));
pv.setSymbol(new MapSymbol());
pv.setSite(new SiteDTO());
originalSum += pv.getValue();
points.add(pv);
}
// Now build the graph
MarkerGraph graph = new MarkerGraph(points, new BubbleIntersectionCalculator(15));
// make sure nothing was lost in the merging of coincident points
double nodeSum = 0;
for (MarkerGraph.Node node : graph.getNodes()) {
nodeSum += node.getPointValue().getValue();
}
Assert.assertEquals("values after construction of graph", originalSum, nodeSum, 0.001);
saveGraphImage("clusterTest2", graph, 15);
GeneticSolver solver = new GeneticSolver();
List<Cluster> clusters = solver.solve(graph, new GsLogCalculator(5, 15), new BubbleFitnessFunctor(), UpperBoundsCalculator.calculate(graph, new FixedRadiiCalculator(5)));
// check to make sure all values were included
double sumAfterClustering = 0;
for (Cluster cluster : clusters) {
sumAfterClustering += cluster.sumValues();
}
Assert.assertEquals(originalSum, sumAfterClustering, 0.001);
Assert.assertEquals(15, clusters.size());
saveClusters(graph, "clusterTest-solution", clusters);
}
use of org.activityinfo.legacy.shared.reports.model.MapSymbol in project activityinfo by bedatadriven.
the class CoincidentPointsClusterTest method testSimpleData.
@Test
public void testSimpleData() throws Exception {
List<PointValue> points = new ArrayList<PointValue>();
points.add(new PointValue(new SiteDTO(), new MapSymbol(), 7.0, new Point(0, 0)));
points.add(new PointValue(new SiteDTO(), new MapSymbol(), 2.0, new Point(0, 0)));
points.add(new PointValue(new SiteDTO(), new MapSymbol(), 41.0, new Point(100, 100)));
points.add(new PointValue(new SiteDTO(), new MapSymbol(), 9.0, new Point(0, 0)));
points.add(new PointValue(new SiteDTO(), new MapSymbol(), 39.0, new Point(100, 100)));
double originalSum = 7 + 2 + 9 + 41 + 39;
// Now build the graph
MarkerGraph graph = new MarkerGraph(points, new BubbleIntersectionCalculator(15));
GeneticSolver solver = new GeneticSolver();
List<Cluster> clusters = solver.solve(graph, new GsLogCalculator(5, 15), new BubbleFitnessFunctor(), UpperBoundsCalculator.calculate(graph, new FixedRadiiCalculator(5)));
// check to make sure all values were included
double sumAfterClustering = 0;
for (Cluster cluster : clusters) {
sumAfterClustering += cluster.sumValues();
}
Assert.assertEquals(originalSum, sumAfterClustering, 0.0001);
Assert.assertEquals(2, clusters.size());
saveClusters(graph, "clusterTest-solution", clusters);
}
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