/// <summary>
/// Calculates the densities for the dataset
/// </summary>
/// <param name="dataset">The dataset to calculate from</param>
/// <returns>The list of densities</returns>
public static IEnumerable<DensitySeries> CalculateDensity(Dataset dataset)
{
var densitySeries = new List<DensitySeries>();
foreach (var sensor in dataset.Sensors.Where(x => x.SensorType == "Water_Temperature"))
{
var series = new DensitySeries(sensor.Elevation);
foreach (var value in sensor.CurrentState.Values)
{
var density = (1 - (((value.Value + 288.9414) / (508929.2 * (value.Value + 68.12963))) *
Math.Pow((value.Value - 3.9863), 2))) * 1000;
series.AddValue(value.Key, density);
}
densitySeries.Add(series);
}
return densitySeries.ToArray();
}
/// <summary>
/// Calculates the densities for the dataset
/// </summary>
/// <param name="dataset">The dataset to calculate from</param>
/// <returns>The list of densities</returns>
public static IEnumerable <DensitySeries> CalculateDensity(Dataset dataset)
{
var densitySeries = new List <DensitySeries>();
foreach (var sensor in dataset.Sensors.Where(x => x.SensorType == "Water_Temperature"))
{
var series = new DensitySeries(sensor.Elevation);
foreach (var value in sensor.CurrentState.Values)
{
var density = (1 - (((value.Value + 288.9414) / (508929.2 * (value.Value + 68.12963))) *
Math.Pow((value.Value - 3.9863), 2))) * 1000;
series.AddValue(value.Key, density);
}
densitySeries.Add(series);
}
return(densitySeries.ToArray());
}
private static Dictionary<DateTime, Dictionary<float, double>> GenerateDensityColumns(DensitySeries[] densities)
{
var densityColumns = new Dictionary<DateTime, Dictionary<float, double>>();
var timestamps = densities.SelectMany(x => x.Density.Keys).Distinct().OrderBy(x => x).ToArray();
foreach (var timestamp in timestamps)
{
var column = new Dictionary<float, double>();
var t = timestamp;
foreach (var series in densities.Where(x => x.Density.ContainsKey(t)))
{
column[series.Depth] = series.Density[timestamp];
}
densityColumns[timestamp] = column;
}
return densityColumns;
}
