/// <summary>
/// Applies the filter on the specified spatial data.
/// </summary>
/// <param name="spatialData">The spatial data.</param>
/// <param name="name">The name of the filtered data .</param>
/// <returns>ISpatialData.</returns>
public ISpatialData Apply(ISpatialData spatialData, string name)
{
//Gaussian.failedRays = 0;
ISpatialData data = IsovistClippedGaussian.Apply(spatialData, name, this.Filter, this.RayIndices, this._cellularFloor);
//MessageBox.Show("Failed Rays: " + Gaussian.failedRays.ToString());
return(data);
}
/// <summary>
/// Initializes a new instance of the <see cref="IsovistClippedGaussian"/> class.
/// </summary>
/// <param name="cellularFloor">The cellular floor.</param>
/// <param name="range">The range of interpolation.</param>
/// <param name="tolerance">The tolerance.</param>
public IsovistClippedGaussian(CellularFloor cellularFloor, int range, double tolerance = OSMDocument.AbsoluteTolerance)
{
this.Range = range;
this._cellularFloor = cellularFloor;
this.Tolerance = tolerance;
double x = (this.Range + 1) * this._cellularFloor.CellSize;
this._rangeLengthSquared = x * x;
double lowerBound = UnitConversion.Convert(0.001d, Length_Unit_Types.FEET, this._cellularFloor.UnitType);
double upperBound = UnitConversion.Convert(5.0d, Length_Unit_Types.FEET, this._cellularFloor.UnitType);
this._sigma = MathNet.Numerics.RootFinding.RobustNewtonRaphson.FindRoot(this.gaussianPDF, differentialOfGaussianPDF, lowerBound, upperBound);
//MessageBox.Show("Sigma: " + this.Sigma.ToString() + "\nValue: " + this.gaussianPDF(this.Sigma).ToString());
this.Filter = IsovistClippedGaussian.GaussianFilter(this.Range + 1, this._cellularFloor.CellSize, this.Sigma);
this.RayIndices = IsovistClippedGaussian.LoadRayIndices(this.Range, this._cellularFloor, this.Tolerance);
}
/// <summary>
/// Gets the filtered values.
/// </summary>
/// <param name="spatialData">The spatial data.</param>
/// <param name="filter">The weighting factors of the filter.</param>
/// <param name="rayIndices">The ray indices.</param>
/// <param name="cellularFloor">The cellular floor.</param>
/// <returns>Dictionary<Cell, System.Double>.</returns>
public static Dictionary <Cell, double> GetFilteredValues(ISpatialData spatialData, double[,] filter,
Dictionary <Index, Index[]> rayIndices, CellularFloor cellularFloor)
{
Cell[] cells = new Cell[spatialData.Data.Count];
spatialData.Data.Keys.CopyTo(cells, 0);
double[] values = new double[spatialData.Data.Count];
int neighborhood_range = filter.GetLength(0);
Parallel.For(0, cells.Length, (I) =>
{
values[I] = IsovistClippedGaussian.Apply(spatialData, cells[I], filter, neighborhood_range, rayIndices, cellularFloor);
});
Dictionary <Cell, double> filtered = new Dictionary <Cell, double>();
for (int i = 0; i < cells.Length; i++)
{
filtered.Add(cells[i], values[i]);
}
return(filtered);
}
/// <summary>
/// Applies filter on the specified spatial data.
/// </summary>
/// <param name="spatialData">The spatial data.</param>
/// <param name="name">The name of the filtered data.</param>
/// <param name="filter">The weighting factors of the filter.</param>
/// <param name="rayIndices">The ray indices.</param>
/// <param name="cellularFloor">The cellular floor.</param>
/// <returns>ISpatialData.</returns>
public static ISpatialData Apply(ISpatialData spatialData, string name, double[,] filter,
Dictionary <Index, Index[]> rayIndices, CellularFloor cellularFloor)
{
int neighborhood_range = filter.GetLength(0);
Dictionary <Cell, double> filtered = new Dictionary <Cell, double>();
foreach (Cell cell in spatialData.Data.Keys)
{
double value = IsovistClippedGaussian.Apply(spatialData, cell, filter, neighborhood_range, rayIndices, cellularFloor);
filtered.Add(cell, value);
}
ISpatialData newData = null;
switch (spatialData.Type)
{
case DataType.SpatialData:
if (spatialData.GetType() == typeof(SpatialDataField))
{
newData = new SpatialDataField(name, filtered);
}
else if (spatialData.GetType() == typeof(SimulationResult))
{
SimulationResult simulationResult = (SimulationResult)spatialData;
newData = new SimulationResult(name, filtered, simulationResult.TimeStep, simulationResult.SimulationDuration);
}
else if (spatialData.GetType() == typeof(MandatorySimulationResult))
{
MandatorySimulationResult mandatorySimulationResult = (MandatorySimulationResult)spatialData;
newData = new MandatorySimulationResult(name, filtered, mandatorySimulationResult.TimeStep, mandatorySimulationResult.SimulationDuration, mandatorySimulationResult.WalkedDistancePerHour,
mandatorySimulationResult.TimeInMainStations, mandatorySimulationResult.WalkingTime, mandatorySimulationResult.ActivityEngagementTime,
mandatorySimulationResult.SequencesWhichNeededVisualDetection, mandatorySimulationResult.AverageDelayChanceForVisualDetection,
mandatorySimulationResult.MinimumDelayChanceForVisualDetection,
mandatorySimulationResult.MaximumDelayChanceForVisualDetection);
}
break;
case DataType.ActivityPotentialField:
newData = new FieldUtility.Activity(filtered, ((Activity)spatialData).Origins, ((Activity)spatialData).DestinationArea, ((Activity)spatialData).DefaultState, name, cellularFloor);
((Activity)newData).TrySetEngagementTime(((Activity)spatialData).MinimumEngagementTime, ((Activity)spatialData).MaximumEngagementTime);
break;
case DataType.OccupancyEvent:
if (spatialData.GetType() == typeof(MandatoryEvaluationEvent))
{
MandatoryEvaluationEvent event_ = (MandatoryEvaluationEvent)spatialData;
newData = new SpatialAnalysis.Events.MandatoryEvaluationEvent(name, filtered, event_.Likelihood, event_.TimeSamplingRate, event_.TimeStep, event_.Duration,
event_.MaximumVelocityMagnitude, event_.VisibilityAngle, event_.HasCapturedVisualEvents, event_.HasCapturedDataEvents, event_.EventType, event_.CapturedEventTrails)
{
HasActivityEngagementEvent = event_.HasActivityEngagementEvent
};
}
else
{
EvaluationEvent event_ = (EvaluationEvent)spatialData;
newData = new SpatialAnalysis.Events.EvaluationEvent(name, filtered, event_.Likelihood, event_.TimeSamplingRate, event_.TimeStep, event_.Duration,
event_.MaximumVelocityMagnitude, event_.VisibilityAngle, event_.HasCapturedVisualEvents, event_.HasCapturedDataEvents, event_.EventType, event_.CapturedEventTrails);
}
break;
}
return(newData);
}
/// <summary>
/// Applies the filter on the specified spatial data in parallel.
/// </summary>
/// <param name="spatialData">The spatial data.</param>
/// <param name="name">The name of the filtered data.</param>
/// <returns>ISpatialData.</returns>
public ISpatialData ApplyParallel(ISpatialData spatialData, string name)
{
return(IsovistClippedGaussian.ApplyParallel(spatialData, name, this.Filter, this.RayIndices, this._cellularFloor));
}
