示例#1
0
        public static async Task <BRAZILmodelDataSource> CreateAsync(IStorageContext dataContext)
        {
            var storageDefinition = dataContext.StorageDefinition;
            var latIntegratorTask = LinearIntegratorsFactory.SmartConstructAsync(dataContext, IntegratorsFactoryHelpers.AutodetectLatName(storageDefinition));
            var lonIntegratorTask = LinearIntegratorsFactory.SmartConstructAsync(dataContext, IntegratorsFactoryHelpers.AutodetectLonName(storageDefinition));

            var timeAxis = Enumerable.Range(0, 47).ToArray();

            var timeIntegrator = new TimeAxisAvgProcessing.TimeAxisAvgFacade(
                timeAxis,
                new TimeAxisProjections.ContinousYears(referenceYear),
                new WeightProviders.StepFunctionInterpolation(),
                new DataCoverageEvaluators.ContinousMeansCoverageEvaluator());
            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 coverageCheckUncertaintyEvaluator = new GridUncertaintyConventionsDecorator(gaussianFieldUncertaintyEvaluator, 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);
            var scaledAggregator     = new Microsoft.Research.Science.FetchClimate2.ValueAggregators.LinearTransformDecorator(dataContext, clusteringAggregator);

            gridAggregator.SetMissingValue("RoadDensityData", -9999.0);
            gridAggregator.SetMissingValue("Deforestation", -9999.0);

            return(new BRAZILmodelDataSource(dataContext, variablePresenceCheckEvaluator, scaledAggregator));
        }
示例#2
0
        public static async Task <MLDDataHandler> CreateAsync(IStorageContext dataContext)
        {
            var storageDefinition = dataContext.StorageDefinition;
            var latIntegratorTask = LinearIntegratorsFactory.SmartConstructAsync(dataContext, IntegratorsFactoryHelpers.AutodetectLatName(storageDefinition));
            var lonIntegratorTask = LinearIntegratorsFactory.SmartConstructAsync(dataContext, IntegratorsFactoryHelpers.AutodetectLonName(storageDefinition));

            var timeAxis = await dataContext.GetDataAsync("days since 1998-1-1 0:0:0");

            var timeIntegrator = new TimeAxisAvgProcessing.TimeAxisAvgFacade(
                timeAxis,
                new TimeAxisProjections.ContinuousDays(new DateTime(1998, 1, 1)),
                new WeightProviders.StepFunctionInterpolation(),
                new DataCoverageEvaluators.ContinousMeansCoverageEvaluator());

            var latIntegrator = await latIntegratorTask;
            var lonIntegrator = await lonIntegratorTask;

            var thinningLatIntegrator  = new SpatGridIntegatorThinningDecorator(latIntegrator);
            var thinningLonIntegrator  = new SpatGridIntegatorThinningDecorator(lonIntegrator);
            var thinningTimeIntegrator = new TimeAxisIntegratorThinningDecorator(timeIntegrator);

            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(thinningTimeIntegrator, thinningLatIntegrator, thinningLonIntegrator, temporalVarianceCalculaator, spatialVarianceCalculator, baseNodeUncertainty);
            var coverageCheckUncertaintyEvaluator = new GridUncertaintyConventionsDecorator(gaussianFieldUncertaintyEvaluator, 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);

            gridAggregator.SetMissingValue("data", -9999);

            return(new MLDDataHandler(dataContext, variablePresenceCheckEvaluator, clusteringAggregator));
        }