Mercurial > dive4elements > river
view artifacts/src/main/java/org/dive4elements/river/artifacts/model/sq/SQRelationCalculation.java @ 6152:0587819960c3
Waterlevel differences & bed height differences: Add new model LinearInterpolated intented to unify the two very similiar calculations. The focus of the current implementation is correctness and not speed! The fact that the data sets more mostly sorted by station is not exploited. Doing so would improve performance significantly.
author | Sascha L. Teichmann <teichmann@intevation.de> |
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date | Sun, 02 Jun 2013 17:52:53 +0200 |
parents | af13ceeba52a |
children | b8f94e865875 |
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/* Copyright (C) 2011, 2012, 2013 by Bundesanstalt für Gewässerkunde * Software engineering by Intevation GmbH * * This file is Free Software under the GNU AGPL (>=v3) * and comes with ABSOLUTELY NO WARRANTY! Check out the * documentation coming with Dive4Elements River for details. */ package org.dive4elements.river.artifacts.model.sq; import org.dive4elements.river.artifacts.access.SQRelationAccess; import org.dive4elements.river.artifacts.math.fitting.Function; import org.dive4elements.river.artifacts.math.fitting.FunctionFactory; import org.dive4elements.river.artifacts.model.Calculation; import org.dive4elements.river.artifacts.model.CalculationResult; import org.dive4elements.river.artifacts.model.DateRange; import org.dive4elements.river.artifacts.model.Parameters; import org.dive4elements.river.backend.SedDBSessionHolder; import java.util.ArrayList; import java.util.List; import org.apache.log4j.Logger; public class SQRelationCalculation extends Calculation { private static final Logger log = Logger.getLogger(SQRelationCalculation.class); public static final String SQ_FUNCTION_NAME = "sq-pow"; protected String river; protected double location; protected DateRange period; protected double outliers; private String method; public SQRelationCalculation() { } public SQRelationCalculation(SQRelationAccess access) { String river = access.getRiver(); Double location = access.getLocation(); DateRange period = access.getPeriod(); Double outliers = access.getOutliers(); String method = access.getOutlierMethod(); //river = "Rhein"; if (river == null) { // TODO: i18n addProblem("sq.missing.river"); } if (location == null) { // TODO: i18n addProblem("sq.missing.location"); } if (period == null) { // TODO: i18n addProblem("sq.missing.periods"); } if (outliers == null) { // TODO: i18n addProblem("sq.missing.outliers"); } if (method == null) { //TODO: i18n addProblem("sq.missing.method"); } if (!hasProblems()) { this.river = river; this.location = location; this.period = period; this.outliers = outliers; this.method = method; } } public CalculationResult calculate() { log.debug("SQRelationCalculation.calculate"); if (hasProblems()) { return new CalculationResult(this); } SedDBSessionHolder.acquire(); try { return internalCalculate(); } finally { SedDBSessionHolder.release(); } } protected CalculationResult internalCalculate() { Function function = FunctionFactory .getInstance() .getFunction(SQ_FUNCTION_NAME); if (function == null) { log.error("No '" + SQ_FUNCTION_NAME + "' function found."); // TODO: i18n addProblem("sq.missing.sq.function"); } Measurements measurements = MeasurementFactory.getMeasurements(river, location, period); SQFractionResult [] fractionResults = new SQFractionResult[SQResult.NUMBER_FRACTIONS]; for (int i = 0; i < fractionResults.length; ++i) { List<SQ> sqs = measurements.getSQs(i); SQFractionResult fractionResult; List<SQFractionResult.Iteration> iterations = doFitting(function, sqs); if (iterations == null) { // TODO: i18n addProblem("sq.fitting.failed." + i); fractionResult = new SQFractionResult(); } else { fractionResult = new SQFractionResult( sqs.toArray(new SQ[sqs.size()]), iterations); } fractionResults[i] = fractionResult; } return new CalculationResult( new SQResult[] { new SQResult(location, fractionResults) }, this); } protected List<SQFractionResult.Iteration> doFitting( final Function function, List<SQ> sqs ) { final List<SQFractionResult.Iteration> iterations = new ArrayList<SQFractionResult.Iteration>(); boolean success = new Fitting(function, outliers).fit( sqs, method, new Fitting.Callback() { @Override public void afterIteration( double [] coeffs, SQ [] measurements, SQ [] outliers, double standardDeviation, double chiSqr ) { Parameters parameters = createParameters( function.getParameterNames(), coeffs, standardDeviation, chiSqr); iterations.add(new SQFractionResult.Iteration( parameters, measurements, outliers)); } }); return success ? iterations : null; } public static final Parameters createParameters( String [] names, double [] values, double standardDeviation, double chiSqr ) { String [] columns = new String[names.length + 2]; columns[0] = "chi_sqr"; columns[1] = "std_dev"; System.arraycopy(names, 0, columns, 2, names.length); Parameters parameters = new Parameters(columns); int row = parameters.newRow(); parameters.set(row, names, values); parameters.set(row, "chi_sqr", chiSqr); parameters.set(row, "std_dev", standardDeviation); return parameters; } } // vim:set ts=4 sw=4 si et sta sts=4 fenc=utf-8 :