/// <summary>
/// Returns a time series corresponding to the specific channel and interval
/// the 'missing data' (periodList) is also internally loaded for all variables
/// except stage and discharge.
/// </summary>
/// <param name="channel"></param>
/// <param name="interval"></param>
/// <returns></returns>
public static ITimeSeries GetTimeSeries(Channel ch, TimeInterval interval)
{
VariableEnum v = ch.Variable.VarEnum;
TimeStep step = GetDefaultTimeStep(v, interval);
ITimeSeries ts;
if (v == VariableEnum.Stage)
{
ts = new HydroTimeSeries(interval.Start, interval.End);
TimeSeriesDS.LoadObservationsStage2(ch.StationId, interval.Start,
interval.End, step, (IObservationList)ts);
}
else if (v == VariableEnum.Discharge)
{
ts = new HydroTimeSeries(interval.Start, interval.End);
TimeSeriesDS.LoadObservationsDischarge2(ch.StationId, interval.Start,
interval.End, step, (IObservationList)ts);
}
else if (v == VariableEnum.Temperature)
{
ts = new HydroTimeSeries(interval.Start, interval.End);
//step = TimeStep.Hour;
TimeSeriesDS.LoadObservationsTemperature2(ch.StationId, interval.Start, interval.End, step, (IObservationList)ts);
}
else if (v == VariableEnum.Snow)
{
ts = new HydroTimeSeries(interval.Start, interval.End);
TimeSeriesDS.LoadObservationsSnow2(ch.StationId, interval.Start, interval.End, (IObservationList)ts);
}
else if (v == VariableEnum.PrecipHour || v == VariableEnum.Precip || v == VariableEnum.PrecipSum)
{
ts = new MyTimeSeries(interval.Start, interval.End, step);
TimeSeriesDS.LoadObservationsPrecip2(ch.StationId, interval.Start,
interval.End, step, (IObservationList)ts);
}
else
{
//snow
ts = new HydroTimeSeries(interval.Start, interval.End);
TimeSeriesDS.LoadObservationsSnow2(ch.StationId, interval.Start, interval.End, (IObservationList)ts);
}
return ts;
}
public ITimeSeries ShowCumulative()
{
MyTimeSeries ts2 = new MyTimeSeries(_start, _end, _step);
double last_x = _start.ToOADate();
double sum = 0.0;
//the time step in fractions of day
double timeStepFactor = CalcTimeStepFactor(_step);
//approximate time step to ensure correct comparison results
double AproxFactor = timeStepFactor + 0.01;
if (!_data.Sorted)
{
_data.Sort();
}
foreach (PointPair pt in _data)
{
if (!pt.IsMissing)
{
if (pt.X - last_x > AproxFactor)
{
//the two points are more than one time step apart
ts2._data.Add(new PointPair(pt.X - timeStepFactor, sum));
}
sum += pt.Y;
ts2._data.Add(new PointPair(pt.X, sum));
}
}
//add last point..
ts2._data.Add(new PointPair(End.ToOADate(), sum));
return ts2;
}
public ITimeSeries ShowUnknown(double valueToDisplay)
{
MyTimeSeries ts2 = new MyTimeSeries(_start, _end, _step);
foreach (PointPair p in _data)
{
if (p.IsMissing)
{
ts2._data.Add(p.X, valueToDisplay);
}
}
return ts2;
}
public object Clone()
{
MyTimeSeries copy = new MyTimeSeries();
copy._start = _start;
copy._end = _end;
copy._data = _data.Clone();
return copy;
}
