public static async Task <DataHandler> CreateAsync(IStorageContext dataContext)
{
var timeAxisDetection = StepFunctionAutoDetectHelper.SmartDetectAxis(dataContext);
var detected = timeAxisDetection as StepFunctionAutoDetectHelper.AxisFound;
if (detected == null)
{
throw new InvalidOperationException("Can't autodetect time axis. See logs for particular failure reason");
}
var axis = await dataContext.GetDataAsync(detected.AxisName);
var timeIntegrator = StepFunctionAutoDetectHelper.ConstructAverager(detected.AxisKind, axis, detected.BaseOffset);
var storageDefinition = dataContext.StorageDefinition;
var latIntegratorTask = LinearIntegratorsFactory.SmartConstructAsync(dataContext, IntegratorsFactoryHelpers.AutodetectLatName(storageDefinition));
var lonIntegratorTask = LinearIntegratorsFactory.SmartConstructAsync(dataContext, IntegratorsFactoryHelpers.AutodetectLonName(storageDefinition));
var latIntegrator = await latIntegratorTask;
var lonIntegrator = await lonIntegratorTask;
//var baseNodeUncertainty = new NoBaseUncertaintyProvider();
//var temporalVarianceCalculaator = new LinearCombination1DVarianceCalc(new StorageContextMetadataTimeVarianceExtractor(storageDefinition), timeIntegrator);
//var spatialVarianceCalculator = new LinearCombinationOnSphereVarianceCalculator(new StorageContextMetadataSpatialVarianceExtractor(storageDefinition), latIntegrator, lonIntegrator);
//var gaussianFieldUncertaintyEvaluator = new SequentialTimeSpatialUncertaintyEvaluatorFacade(timeIntegrator, latIntegrator, lonIntegrator, temporalVarianceCalculaator, spatialVarianceCalculator, baseNodeUncertainty);
var percentileEvaluator = new PercentileGridAggregator(dataContext, timeIntegrator, latIntegrator, lonIntegrator, true);
var coverageCheckUncertaintyEvaluator = new GridUncertaintyConventionsDecorator(percentileEvaluator, latIntegrator, lonIntegrator, timeIntegrator);
var scaledUncertaintyEvaluator = new Microsoft.Research.Science.FetchClimate2.UncertaintyEvaluators.LinearTransformDecorator(coverageCheckUncertaintyEvaluator);
var variablePresenceCheckEvaluator = new VariablePresenceCheckDecorator(dataContext.StorageDefinition, scaledUncertaintyEvaluator);
var gridAggregator = new GridMeanAggregator(dataContext, timeIntegrator, latIntegrator, lonIntegrator, true);
var clusteringAggregator = new GridClusteringDecorator(dataContext.StorageDefinition, gridAggregator, timeIntegrator, latIntegrator, lonIntegrator);
var scaledAggregator = new Microsoft.Research.Science.FetchClimate2.ValueAggregators.LinearTransformDecorator(dataContext, clusteringAggregator);
return(new DataHandler(dataContext, variablePresenceCheckEvaluator, scaledAggregator));
}
public static async Task <GenericLinearGridStepFunctionDataHandler> CreateAsync(IStorageContext dataContext)
{
var timeAxisDeterction = StepFunctionAutoDetectHelper.SmartDetectAxis(dataContext);
var detected = timeAxisDeterction as StepFunctionAutoDetectHelper.AxisFound;
if (detected == null)
{
throw new InvalidOperationException("Can't autodetect time axis. See logs for particular failure reason");
}
var axis = await dataContext.GetDataAsync(detected.AxisName);
var timeIntegrator = StepFunctionAutoDetectHelper.ConstructAverager(detected.AxisKind, axis, detected.BaseOffset);
var a = await GenericLinearGridDataHandlerHelper.EasyConstructAsync(dataContext, timeIntegrator);
var uncertatintyEvaluator = a.Item1;
var valuesAggregator = a.Item2;
return(new GenericLinearGridStepFunctionDataHandler(dataContext, uncertatintyEvaluator, valuesAggregator));
}
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));
}