Java Code Examples for ucar.nc2.constants.FeatureType#TRAJECTORY

public boolean isMine(FeatureType wantFeatureType, NetcdfDataset ds) {
  if ((wantFeatureType != FeatureType.ANY_POINT) && (wantFeatureType != FeatureType.TRAJECTORY))
    return false;

  String title = ds.getRootGroup().findAttributeString("title", null);
  if (!"MADIS ACARS data".equals(title))
    return false;

  if (!ds.hasUnlimitedDimension())
    return false;
  if (ds.findDimension("recNum") == null)
    return false;

  VNames vn = getVariableNames(ds, null);
  if (ds.findVariable(vn.lat) == null)
    return false;
  if (ds.findVariable(vn.lon) == null)
    return false;
  if (ds.findVariable(vn.obsTime) == null)
    return false;
  return ds.findVariable(TRAJ_ID) != null;

}
 

public TableConfig getConfig(FeatureType wantFeatureType, NetcdfDataset ds, Formatter errlog) {
  VNames vn = getVariableNames(ds, errlog);

  TableConfig trajTable = new TableConfig(Table.Type.Construct, "trajectory");
  trajTable.featureType = FeatureType.TRAJECTORY;
  trajTable.feature_id = TRAJ_ID;

  TableConfig obs = new TableConfig(Table.Type.ParentId, "record");
  obs.parentIndex = TRAJ_ID;
  obs.dimName = Evaluator.getDimensionName(ds, "recNum", errlog);
  obs.time = vn.obsTime;
  obs.timeNominal = vn.nominalTime;

  // obs.stnId = vn.stnId;
  // obs.stnDesc = vn.stnDesc;
  obs.lat = vn.lat;
  obs.lon = vn.lon;
  obs.elev = vn.elev;

  trajTable.addChild(obs);
  return trajTable;
}
 

private void checkIfTrajectory(TableConfig st) {
  // deal with possible trajectory - only do this if dataset has metadata
  FeatureType ft = FeatureDatasetFactoryManager.findFeatureType(ds);
  if (ft == FeatureType.TRAJECTORY) {
    st.featureType = FeatureType.TRAJECTORY;
    TableConfig pc = new TableConfig(Table.Type.Top, "single");
    st.parent = pc;
    pc.addChild(st);
  } else
    st.featureType = FeatureType.POINT;
}
 

public FeatureType getScientificDataType() {
  return FeatureType.TRAJECTORY;
}
 

public FeatureType getScientificDataType() {
  return FeatureType.TRAJECTORY;
}
 

public FeatureType getScientificDataType() {
  return FeatureType.TRAJECTORY;
}
 

public FeatureType getScientificDataType() {
  return FeatureType.TRAJECTORY;
}
 

public FeatureType getScientificDataType() {
  return FeatureType.TRAJECTORY;
}
 

public FeatureType getScientificDataType() {
  return FeatureType.TRAJECTORY;
}
 

public FeatureType getScientificDataType() {
  return FeatureType.TRAJECTORY;
}
 

public FeatureType getScientificDataType() {
  return FeatureType.TRAJECTORY;
}
 

@Nonnull
@Override
public FeatureType getCollectionFeatureType() {
  return FeatureType.TRAJECTORY;
}
 

PointDatasetStandard(FeatureType wantFeatureType, TableAnalyzer analyser, NetcdfDataset ds, Formatter errlog) {
  super(ds, null);
  parseInfo.format(" PointFeatureDatasetImpl=%s%n", getClass().getName());
  this.analyser = analyser;

  List<DsgFeatureCollection> featureCollections = new ArrayList<>();
  for (NestedTable flatTable : analyser.getFlatTables()) { // each flat table becomes a "feature collection"

    CalendarDateUnit timeUnit;
    try {
      timeUnit = flatTable.getTimeUnit();
    } catch (Exception e) {
      if (null != errlog)
        errlog.format("%s%n", e.getMessage());
      timeUnit = CalendarDateUnit.unixDateUnit;
    }

    String altUnits = flatTable.getAltUnits();

    // create member variables
    dataVariables = new ArrayList<>(flatTable.getDataVariables());

    featureType = flatTable.getFeatureType(); // hope they're all the same
    if (flatTable.getFeatureType() == FeatureType.POINT)
      featureCollections.add(new StandardPointCollectionImpl(flatTable, timeUnit, altUnits));

    else if (flatTable.getFeatureType() == FeatureType.PROFILE)
      featureCollections.add(new StandardProfileCollectionImpl(flatTable, timeUnit, altUnits));

    else if (flatTable.getFeatureType() == FeatureType.STATION)
      featureCollections.add(new StandardStationCollectionImpl(flatTable, timeUnit, altUnits));

    else if (flatTable.getFeatureType() == FeatureType.STATION_PROFILE)
      featureCollections.add(new StandardStationProfileCollectionImpl(flatTable, timeUnit, altUnits));

    else if (flatTable.getFeatureType() == FeatureType.TRAJECTORY_PROFILE)
      featureCollections.add(new StandardSectionCollectionImpl(flatTable, timeUnit, altUnits));

    else if (flatTable.getFeatureType() == FeatureType.TRAJECTORY)
      featureCollections.add(new StandardTrajectoryCollectionImpl(flatTable, timeUnit, altUnits));
  }

  if (featureCollections.isEmpty())
    throw new IllegalStateException("No feature collections found");

  setPointFeatureCollection(featureCollections);
}
 

protected StandardTrajectoryCollectionImpl(String name, CalendarDateUnit timeUnit, String altUnits) {
  super(name, timeUnit, altUnits, FeatureType.TRAJECTORY);
}
 

StandardTrajectoryCollectionImpl(NestedTable ft, CalendarDateUnit timeUnit, String altUnits) {
  super(ft.getName(), timeUnit, altUnits, FeatureType.TRAJECTORY);
  this.ft = ft;
  this.extras = ft.getExtras();
}