/**
* This method takes the input {@link SimpleFeatureCollection} and transforms it into a shapefile
* using the provided file.
*
* <p>Make sure the provided files ends with .shp.
*
* @param fc the {@link SimpleFeatureCollection} to be encoded as a shapefile.
* @param destination the {@link File} where we want to write the shapefile.
* @throws IOException in case an {@link IOException} is thrown by the underlying code.
*/
protected static void featureCollectionToShapeFile(
final SimpleFeatureCollection fc, final File destination) throws IOException {
//
// checks
//
org.geotools.util.Utilities.ensureNonNull("fc", fc);
Utilities.ensureNonNull("destination", destination);
// checks on the file
if (destination.exists()) {
if (destination.isDirectory())
throw new IOException("The provided destination maps to a directory:" + destination);
if (!destination.canWrite())
throw new IOException(
"The provided destination maps to an existing file that cannot be deleted:"
+ destination);
if (!destination.delete())
throw new IOException(
"The provided destination maps to an existing file that cannot be deleted:"
+ destination);
}
// real work
final DataStoreFactorySpi dataStoreFactory = new ShapefileDataStoreFactory();
Map<String, Serializable> params = new HashMap<String, Serializable>();
params.put("url", destination.toURI().toURL());
params.put("create spatial index", Boolean.TRUE);
ShapefileDataStore store = null;
Transaction transaction = null;
try {
store = (ShapefileDataStore) dataStoreFactory.createNewDataStore(params);
store.createSchema(fc.getSchema());
final SimpleFeatureStore featureStore =
(SimpleFeatureStore) store.getFeatureSource(fc.getSchema().getName());
transaction = featureStore.getTransaction();
featureStore.addFeatures(fc);
} catch (IOException e) {
e.printStackTrace();
} finally {
if (transaction != null) {
transaction.commit();
transaction.close();
}
if (store != null) {
store.dispose();
}
}
}
public void testRandomProcess() throws Exception {
File f = TestData.file(this, "all_data.shp");
// System.out.println(f + " " + f.exists());
URL url = DataUtilities.fileToURL(f);
DataStoreFactorySpi dataStoreFactory = new ShapefileDataStoreFactory();
Map<String, Serializable> params2 = new HashMap<String, Serializable>();
params2.put("url", url);
params2.put("create spatial index", Boolean.TRUE);
ShapefileDataStore store = (ShapefileDataStore) dataStoreFactory.createNewDataStore(params2);
// ShapefileDataStore store = new ShapefileDataStore(url);
assertNotNull(store);
FeatureSource featureSource = store.getFeatureSource();
final FeatureCollection features = featureSource.getFeatures();
Map<String, Object> params = new HashMap<String, Object>();
params.put(ClusterMethodFactory.NAME.key, "random");
params.put(ClusterMethodFactory.POPULATION.key, features);
params.put(ClusterMethodFactory.POPATTRIBUTE.key, "pop");
params.put(ClusterMethodFactory.CANCER.key, features);
params.put(ClusterMethodFactory.CANATTRIBUTE.key, "cases");
params.put(ClusterMethodFactory.MINRAD.key, 1000.0);
params.put(ClusterMethodFactory.MAXRAD.key, 5000.0);
params.put(ClusterMethodFactory.NCIRCLES.key, 500.0);
params.put(ClusterMethodFactory.TESTNAME.key, "poisson");
ClusterMethodFactory factory = new ClusterMethodFactory();
Process process = factory.create(params);
assertNotNull(process);
long start = System.currentTimeMillis();
Map<String, Object> results = process.execute(params, new ClusterMonitor());
long end = System.currentTimeMillis();
System.out.println("process took " + ((end - start) / 1000) + " seconds");
GridCoverage2D grid = (GridCoverage2D) results.get(ClusterMethodFactory.RESULT.key);
String basename = f.toString();
basename = basename.substring(0, basename.length() - 4);
String filename = basename + "_rand.tiff";
Utilities.writeGrid(filename, grid);
FeatureCollection outfeatures =
(FeatureCollection) results.get(ClusterMethodFactory.CIRCLES.key);
Utilities.writeCircles(basename + "_rand.shp", outfeatures);
}
