public static async Task <DataHandler> CreateAsync(IStorageContext dataContext)
{
var storageDefinition = dataContext.StorageDefinition;
string latAxisName = IntegratorsFactoryHelpers.AutodetectLatName(storageDefinition);
string lonAxisName = IntegratorsFactoryHelpers.AutodetectLonName(storageDefinition);
var timeAxisDetection = StepFunctionAutoDetectHelper.SmartDetectAxis(dataContext);
var result = timeAxisDetection as StepFunctionAutoDetectHelper.AxisFound;
if (result == null)
{
throw new InvalidOperationException("Time axes detection failed");
}
var latAxisTask = dataContext.GetDataAsync(latAxisName);
var lonAxisTask = dataContext.GetDataAsync(lonAxisName);
var timeAxis = await dataContext.GetDataAsync(result.AxisName);
var timeGroupCalc = StepFunctionAutoDetectHelper.ConstructStatisticsCalculator(result.AxisKind, timeAxis, result.BaseOffset);
var latAxis = await latAxisTask;
var latStatCalc = new CoveredPointsStatistics(latAxis);
var lonAxis = await lonAxisTask;
var lonStatCalc = new CoveredPointsStatistics(lonAxis);
var baseUncertaintyProvider = new NoUncertaintyEvaluator();
var coverageCheckUncertaintyEvaluator = new GridUncertaintyConventionsDecorator(baseUncertaintyProvider, latStatCalc, lonStatCalc, timeGroupCalc);
var variablePresenceCheckEvaluator = new VariablePresenceCheckDecorator(dataContext.StorageDefinition, coverageCheckUncertaintyEvaluator);
var gridAggregator = new GridModeAggregator(dataContext, timeGroupCalc, latStatCalc, lonStatCalc, true);
var clusteringAggregator = new GridClusteringDecorator(dataContext.StorageDefinition, gridAggregator, timeGroupCalc, latStatCalc, lonStatCalc);
return(new DataHandler(dataContext, variablePresenceCheckEvaluator, clusteringAggregator));
}
public static async Task <DataHandler> CreateAsync(IStorageContext dataContext)
{
var storageDefinition = dataContext.StorageDefinition;
var latIntegratorTask = LinearIntegratorsFactory.SmartConstructAsync(dataContext, IntegratorsFactoryHelpers.AutodetectLatName(storageDefinition));
var lonIntegratorTask = LinearIntegratorsFactory.SmartConstructAsync(dataContext, IntegratorsFactoryHelpers.AutodetectLonName(storageDefinition));
var timeAxisDetection = StepFunctionAutoDetectHelper.SmartDetectAxis(dataContext);
var result = timeAxisDetection as StepFunctionAutoDetectHelper.AxisFound;
if (result == null)
{
throw new InvalidOperationException("Time axes detection failed");
}
var timeAxis = await dataContext.GetDataAsync(result.AxisName);
if (timeAxis.Length < 2)
{
throw new InvalidOperationException("time axis length must be at least 2");
}
if (timeAxis.GetType().GetElementType() != typeof(Int16))
{
throw new InvalidOperationException("NDVI Yearly data handler now supports only Int16 time axis");
}
Int16[] typedTimeAxis = (Int16[])timeAxis;
Int16 step = (Int16)(typedTimeAxis[typedTimeAxis.Length - 1] - typedTimeAxis[typedTimeAxis.Length - 2]);
Int16[] extendedAxis = typedTimeAxis.Concat(new Int16[] { (Int16)(typedTimeAxis[typedTimeAxis.Length - 1] + step) }).ToArray();
var latIntegrator = await latIntegratorTask;
var lonIntegrator = await lonIntegratorTask;
var timeIntegrator = StepFunctionAutoDetectHelper.ConstructAverager(result.AxisKind, extendedAxis, result.BaseOffset);
var baseUncertaintyProvider = new NoUncertaintyEvaluator();
var coverageCheckUncertaintyEvaluator = new GridUncertaintyConventionsDecorator(baseUncertaintyProvider, latIntegrator, lonIntegrator, timeIntegrator);
var variablePresenceCheckEvaluator = new VariablePresenceCheckDecorator(dataContext.StorageDefinition, coverageCheckUncertaintyEvaluator);
var gridAggregator = new GridMeanAggregator(dataContext, timeIntegrator, latIntegrator, lonIntegrator, true);
var clusteringAggregator = new GridClusteringDecorator(dataContext.StorageDefinition, gridAggregator, timeIntegrator, latIntegrator, lonIntegrator);
return(new DataHandler(dataContext, variablePresenceCheckEvaluator, clusteringAggregator));
}