From 399ea02fdfc3aab8bbb0119de8a32d9e6f091805 Mon Sep 17 00:00:00 2001 From: ivanPyrohivskyi Date: Thu, 25 Feb 2021 17:32:25 +0200 Subject: [PATCH] Gradient colorization for route --- .../java/net/osmand/router/RouteColorize.java | 380 ++++++++++++++++++ 1 file changed, 380 insertions(+) create mode 100644 OsmAnd-java/src/main/java/net/osmand/router/RouteColorize.java diff --git a/OsmAnd-java/src/main/java/net/osmand/router/RouteColorize.java b/OsmAnd-java/src/main/java/net/osmand/router/RouteColorize.java new file mode 100644 index 0000000000..9074403176 --- /dev/null +++ b/OsmAnd-java/src/main/java/net/osmand/router/RouteColorize.java @@ -0,0 +1,380 @@ +package net.osmand.router; + +import net.osmand.GPXUtilities; +import net.osmand.osm.edit.Node; +import net.osmand.osm.edit.OsmMapUtils; +import net.osmand.util.MapUtils; + +import java.awt.Color; +import java.util.ArrayList; +import java.util.List; + +public class RouteColorize { + + public int zoom; + public double[] latitudes; + public double[] longitudes; + public double[] values; + public double minValue; + public double maxValue; + public double[][] palette; + + private List dataList; + private static final String ANSI_RESET = "\u001B[0m"; + private static final String ANSI_RED = "\u001B[31m"; + private static final String ANSI_GREEN = "\u001B[32m"; + public static final String ANSI_YELLOW = "\u001B[33m"; + + public enum ValueType { + ELEVATION, + SPEED, + SLOPE, + NONE + } + + private ValueType valueType; + + public static int SLOPE_RANGE = 150; + + + /** + * @param minValue can be NaN + * @param maxValue can be NaN + * @param palette array {{[color][value]},...}, color in sRGB format + */ + public RouteColorize(int zoom, double[] latitudes, double[] longitudes, double[] values, double minValue, double maxValue, double[][] palette) { + this.zoom = zoom; + this.latitudes = latitudes; + this.longitudes = longitudes; + this.values = values; + this.minValue = minValue; + this.maxValue = maxValue; + this.palette = palette; + + if (Double.isNaN(minValue) || Double.isNaN(maxValue)) { + calculateMinMaxValue(); + } + checkPalette(); + sortPalette(); + } + + /** + * @param palette array {{[color][value]},...}, color in sRGB format + * @param type ELEVATION, SPEED, SLOPE + */ + public RouteColorize(int zoom, double[][] palette, List wptPtList, ValueType type) { + this.zoom = zoom; + this.palette = palette; + + latitudes = new double[wptPtList.size()]; + longitudes = new double[wptPtList.size()]; + values = new double[wptPtList.size()]; + double[] elevations = new double[wptPtList.size()]; + for (int i = 0; i < wptPtList.size(); i++) { + latitudes[i] = wptPtList.get(i).lat; + longitudes[i] = wptPtList.get(i).lon; + if (type == ValueType.ELEVATION) { + values[i] = wptPtList.get(i).ele; + } else if (type == ValueType.SPEED) { + values[i] = wptPtList.get(i).speed; + } else if (type == ValueType.SLOPE) { + elevations[i] = wptPtList.get(i).ele; + } + } + + if (type == ValueType.SLOPE) { + values = calculateSlopesByElevations(latitudes, longitudes, elevations, SLOPE_RANGE); + } + + calculateMinMaxValue(); + valueType = type; + checkPalette(); + sortPalette(); + } + + /** + * Calculate slopes from elevations needs for right colorizing + * + * @param slopeRange - in what range calculate the derivative, usually we used 150 meters + * @return slopes array, in the begin and the end present NaN values! + */ + public static double[] calculateSlopesByElevations(double[] latitudes, double[] longitudes, double[] elevations, double slopeRange) { + + double[] newElevations = elevations; + for (int i = 2; i < elevations.length - 2; i++) { + newElevations[i] = elevations[i - 2] + + elevations[i - 1] + + elevations[i] + + elevations[i + 1] + + elevations[i + 2]; + newElevations[i] /= 5; + } + elevations = newElevations; + + double[] slopes = new double[elevations.length]; + if (latitudes.length != longitudes.length || latitudes.length != elevations.length) { + System.out.println(ANSI_RED + "Sizes of arrays latitudes, longitudes and values are not match" + ANSI_RESET); + return slopes; + } + + double[] distances = new double[elevations.length]; + double totalDistance = 0.0d; + distances[0] = totalDistance; + for (int i = 0; i < elevations.length - 1; i++) { + totalDistance += MapUtils.getDistance(latitudes[i], longitudes[i], latitudes[i + 1], longitudes[i + 1]); + distances[i + 1] = totalDistance; + } + + for (int i = 0; i < elevations.length; i++) { + if (distances[i] < slopeRange / 2 || distances[i] > totalDistance - slopeRange / 2) { + slopes[i] = Double.NaN; + } else { + double[] arg = findDerivativeArguments(distances, elevations, i, slopeRange); + slopes[i] = (arg[1] - arg[0]) / (arg[3] - arg[2]); + } + } + return slopes; + } + + public List getResult(boolean simplify) { + List result = new ArrayList<>(); + if (simplify) { + result = simplify(); + } else { + for (int i = 0; i < latitudes.length; i++) { + result.add(new Data(i, latitudes[i], longitudes[i], values[i])); + } + } + for (Data data : result) { + data.color = getColorByValue(data.val); + } + return result; + } + + public Color getColorByValue(double value) { + if (Double.isNaN(value)) { + return getDefaultColor(); + } + for (int i = 0; i < palette.length - 1; i++) { + if (value == palette[i][1]) + return new Color((int) palette[i][0]); + if (value > palette[i][1] && value < palette[i + 1][1]) { + Color minPaletteColor = new Color((int) palette[i][0]); + Color maxPaletteColor = new Color((int) palette[i + 1][0]); + double minPaletteValue = palette[i][1]; + double maxPaletteValue = palette[i + 1][1]; + double percent = (value - minPaletteValue) / (maxPaletteValue - minPaletteValue); + double resultRed = minPaletteColor.getRed() + percent * (maxPaletteColor.getRed() - minPaletteColor.getRed()); + double resultGreen = minPaletteColor.getGreen() + percent * (maxPaletteColor.getGreen() - minPaletteColor.getGreen()); + double resultBlue = minPaletteColor.getBlue() + percent * (maxPaletteColor.getBlue() - minPaletteColor.getBlue()); + double resultAlpha = minPaletteColor.getAlpha() + percent * (maxPaletteColor.getAlpha() - minPaletteColor.getAlpha()); + return new Color((int) resultRed, (int) resultGreen, (int) resultBlue, (int) resultAlpha); + } + } + return getDefaultColor(); + } + + private Color getDefaultColor() { + if (valueType != null && valueType == ValueType.SLOPE) { + return new Color(255, 222, 2, 227); + } + return new Color(0, 0, 0, 0); + } + + private List simplify() { + if (dataList == null) { + dataList = new ArrayList<>(); + for (int i = 0; i < latitudes.length; i++) { + dataList.add(new Data(i, latitudes[i], longitudes[i], values[i])); + } + } + List nodes = new ArrayList<>(); + List result = new ArrayList<>(); + for (Data data : dataList) { + nodes.add(new net.osmand.osm.edit.Node(data.lat, data.lon, data.id)); + } + OsmMapUtils.simplifyDouglasPeucker(nodes, zoom + 5, 1, result, true); + + List simplified = new ArrayList<>(); + + for (int i = 1; i < result.size() - 1; i++) { + int prevId = (int) result.get(i - 1).getId(); + int currentId = (int) result.get(i).getId(); + List sublist = dataList.subList(prevId, currentId); + simplified.addAll(getExtremums(sublist)); + } + return simplified; + } + + private List getExtremums(List subDataList) { + if (subDataList.size() <= 2) + return subDataList; + + List result = new ArrayList<>(); + double min; + double max; + min = max = subDataList.get(0).val; + for (Data pt : subDataList) { + if (min > pt.val) + min = pt.val; + if (max < pt.val) + max = pt.val; + } + + double diff = max - min; + + result.add(subDataList.get(0)); + for (int i = 1; i < subDataList.size() - 1; i++) { + double prev = subDataList.get(i - 1).val; + double current = subDataList.get(i).val; + double next = subDataList.get(i + 1).val; + Data currentData = subDataList.get(i); + + if ((current > prev && current > next) || (current < prev && current < next) + || (current < prev && current == next) || (current == prev && current < next) + || (current > prev && current == next) || (current == prev && current > next)) { + Data prevInResult; + if (result.size() > 0) { + prevInResult = result.get(0); + if (prevInResult.val / diff > 0.05d) {// check differences in 5% + result.add(currentData); + } + } else + result.add(currentData); + } + } + result.add(subDataList.get(subDataList.size() - 1)); + return result; + } + + private void checkPalette() { + if (palette.length < 2 || palette[0].length < 2 || palette[1].length < 2) { + System.out.println(ANSI_YELLOW + "Fill palette in {{[color][value]},...} format. Will use default palette" + ANSI_RESET); + palette = new double[3][2]; + Color red = new Color(255, 1, 1, 255); + Color yellow = new Color(255, 222, 2, 227); + Color green = new Color(46, 185, 0, 191); + + double[][] defaultPalette = { + { green.getRGB(), minValue}, + { yellow.getRGB(), valueType == ValueType.SLOPE ? 0 : (minValue + maxValue) / 2}, + { red.getRGB(), maxValue} + }; + palette = defaultPalette; + } + double min; + double max = min = palette[0][1]; + int minIndex = 0; + int maxIndex = 0; + for (int i = 0; i < palette.length; i++) { + double[] p = palette[i]; + if (p[1] > max) { + max = p[1]; + maxIndex = i; + } + if (p[1] < min) { + min = p[1]; + minIndex = i; + } + } + if (minValue < min) { + palette[minIndex][1] = minValue; + } + if (maxValue > max) { + palette[maxIndex][1] = maxValue; + } + } + + private void sortPalette() { + java.util.Arrays.sort(palette, new java.util.Comparator() { + public int compare(double[] a, double[] b) { + return Double.compare(a[1], b[1]); + } + }); + } + + /** + * @return double[minElevation, maxElevation, minDist, maxDist] + */ + private static double[] findDerivativeArguments(double[] distances, double[] elevations, int index, double slopeRange) { + double[] result = new double[4]; + double minDist = distances[index] - slopeRange / 2; + double maxDist = distances[index] + slopeRange / 2; + result[0] = Double.NaN; + result[1] = Double.NaN; + result[2] = minDist; + result[3] = maxDist; + int closestMaxIndex = -1; + int closestMinIndex = -1; + for (int i = index; i < distances.length; i++) { + if (distances[i] == maxDist) { + result[1] = elevations[i]; + break; + } + if (distances[i] > maxDist) { + closestMaxIndex = i; + break; + } + } + for (int i = index; i >= 0; i--) { + if (distances[i] == minDist) { + result[0] = elevations[i]; + break; + } + if (distances[i] < minDist) { + closestMinIndex = i; + break; + } + } + if (closestMaxIndex > 0) { + double diff = distances[closestMaxIndex] - distances[closestMaxIndex - 1]; + double coef = (maxDist - distances[closestMaxIndex - 1]) / diff; + if (coef > 1 || coef < 0) { + System.out.println(ANSI_RED + "Coefficient fo max must be 0..1 , coef=" + coef + ANSI_RESET); + } + result[1] = (1 - coef) * elevations[closestMaxIndex - 1] + coef * elevations[closestMaxIndex]; + } + if (closestMinIndex >= 0) { + double diff = distances[closestMinIndex + 1] - distances[closestMinIndex]; + double coef = (minDist - distances[closestMinIndex]) / diff; + if (coef > 1 || coef < 0) { + System.out.println(ANSI_RED + "Coefficient for min must be 0..1 , coef=" + coef + ANSI_RESET); + } + result[0] = (1 - coef) * elevations[closestMinIndex] + coef * elevations[closestMinIndex + 1]; + } + if (Double.isNaN(result[0]) || Double.isNaN(result[1])) { + System.out.println(ANSI_RED + "Elevations wasn't calculated" + ANSI_RESET); + } + return result; + } + + private void calculateMinMaxValue() { + if (values.length == 0) + return; + minValue = maxValue = Double.NaN; + for (double value : values) { + if ((Double.isNaN(maxValue) || Double.isNaN(minValue)) && !Double.isNaN(value)) + maxValue = minValue = value; + if (minValue > value) + minValue = value; + if (maxValue < value) + maxValue = value; + } + } + + public class Data { + int id; + public double lat; + public double lon; + public double val; + public Color color; + + Data(int id, double lat, double lon, double val) { + this.id = id; + this.lat = lat; + this.lon = lon; + this.val = val; + } + } + +}