java 克里金插值并生成热力图
时间: 2023-10-18 11:09:12 浏览: 362
要使用Java实现克里金插值并生成热力图,你可以按照以下步骤进行:
1. 收集数据:首先需要收集一些有关要绘制热力图的数据。这些数据可以是从传感器或其他设备中收集的实时数据,也可以是从历史记录中收集的数据。
2. 进行克里金插值:使用Java中的插值库,例如Apache Commons Math,对数据进行克里金插值。这将生成一个平滑的表面,该表面表示原始数据点之间的连续函数。你可以控制插值的精度和平滑度,以使其最适合你的应用程序。
3. 生成热力图:将插值生成的表面转换为热力图。你可以使用Java中的图形库,例如JavaFX或Java 2D API,来绘制热力图。在绘制热力图时,你可以根据表面的高度值来选择颜色和透明度,以便更好地显示数据的分布。
下面是一个简单的Java代码示例,演示了如何使用Apache Commons Math和JavaFX库来实现克里金插值和热力图绘制:
```java
import org.apache.commons.math3.analysis.interpolation.KrigingInterpolator;
import org.apache.commons.math3.analysis.interpolation.LinearInterpolator;
import org.apache.commons.math3.analysis.interpolation.NevilleInterpolator;
import org.apache.commons.math3.analysis.interpolation.SplineInterpolator;
import org.apache.commons.math3.analysis.interpolation.TricubicInterpolator;
import org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolator;
import org.apache.commons.math3.analysis.interpolation.TriangularInterpolation;
import org.apache.commons.math3.analysis.interpolation.WeightedEvaluation;
import org.apache.commons.math3.analysis.interpolation.polynomials.PolynomialSplineFunction;
import org.apache.commons.math3.analysis.polynomials.PolynomialFunction;
import org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm;
import org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm;
import org.apache.commons.math3.analysis.polynomials.PolynomialFunction.Parametric;
import org.apache.commons.math3.exception.ZeroException;
import org.apache.commons.math3.geometry.euclidean.threed.Line;
import org.apache.commons.math3.geometry.euclidean.threed.LineSubSpace;
import org.apache.commons.math3.geometry.euclidean.threed.Plane;
import org.apache.commons.math3.geometry.euclidean.twod.Line;
import org.apache.commons.math3.linear.Array2DRowRealMatrix;
import org.apache.commons.math3.linear.BlockRealMatrix;
import org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor;
import org.apache.commons.math3.linear.MatrixUtils;
import org.apache.commons.math3.linear.NonSquareMatrixException;
import org.apache.commons.math3.linear.QRDecomposition;
import org.apache.commons.math3.linear.RealMatrix;
import org.apache.commons.math3.linear.RealMatrixChangingVisitor;
import org.apache.commons.math3.linear.RealMatrixPreservingVisitor;
import org.apache.commons.math3.linear.RealMatrixVisitor;
import org.apache.commons.math3.optim.ConvergenceChecker;
import org.apache.commons.math3.optim.PointValuePair;
import org.apache.commons.math3.optim.SimpleValueChecker;
import org.apache.commons.math3.optim.nonlinear.scalar.GoalType;
import org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer;
import org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction;
import org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex;
import org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer;
import org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer;
import org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex;
import org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer;
import org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer;
import org.apache.commons.math3.optim.univariate.BrentOptimizer;
import org.apache.commons.math3.optim.univariate.SearchInterval;
import org.apache.commons.math3.stat.descriptive.moment.StandardDeviation;
import org.apache.commons.math3.util.FastMath;
import org.apache.commons.math3.util.MathArrays;
import org.apache.commons.math3.util.Pair;
import org.apache.commons.math3.util.Precision;
import org.apache.commons.math3.util.MathUtils;
import org.apache.commons.math3.util.PairFunction;
import org.apache.commons.math3.util.CombinatoricsUtils;
import java.awt.Color;
import java.awt.Dimension;
import java.awt.Graphics2D;
import java.awt.geom.Rectangle2D;
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Collection;
import java.util.Collections;
import java.util.Comparator;
import java.util.Iterator;
import java.util.List;
import java.util.Random;
import java.util.concurrent.TimeUnit;
import javax.imageio.ImageIO;
import javax.swing.JFrame;
import javax.swing.JPanel;
import javafx.application.Application;
import javafx.embed.swing.SwingFXUtils;
import javafx.event.EventHandler;
import javafx.scene.Scene;
import javafx.scene.canvas.Canvas;
import javafx.scene.canvas.GraphicsContext;
import javafx.scene.control.Slider;
import javafx.scene.input.MouseButton;
import javafx.scene.input.MouseEvent;
import javafx.scene.layout.BorderPane;
import javafx.scene.paint.Color;
import javafx.stage.Stage;
public class HeatMap extends Application {
private static final int WIDTH = 800;
private static final int HEIGHT = 600;
private static final double MIN_X = -10;
private static final double MAX_X = 10;
private static final double MIN_Y = -10;
private static final double MAX_Y = 10;
private static final int NUM_POINTS = 100;
private static final int NUM_VALUES = 100;
private static final Color[] COLORS = new Color[] {
Color.BLUE, Color.GREEN, Color.YELLOW, Color.ORANGE, Color.RED
};
private static final double[] COLOR_THRESHOLDS = new double[] {
0.2, 0.4, 0.6, 0.8
};
private static final double ALPHA = 0.7;
private static final Random RANDOM = new Random();
private static final double[][] DATA = generateData();
private static final KrigingInterpolator INTERPOLATOR = new KrigingInterpolator();
private static final BufferedImage IMAGE = createImage();
private static final Slider SLIDER = new Slider(0, 1, 0.5);
@Override
public void start(Stage primaryStage) throws Exception {
Canvas canvas = new Canvas(WIDTH, HEIGHT);
GraphicsContext gc = canvas.getGraphicsContext2D();
gc.drawImage(SwingFXUtils.toFXImage(IMAGE, null), 0, 0);
canvas.setOnMousePressed(new EventHandler<MouseEvent>() {
@Override
public void handle(MouseEvent event) {
if (event.getButton().equals(MouseButton.PRIMARY)) {
double x = event.getX() * (MAX_X - MIN_X) / WIDTH + MIN_X;
double y = event.getY() * (MAX_Y - MIN_Y) / HEIGHT + MIN_Y;
double value = INTERPOLATOR.interpolate(DATA, new double[] {x, y});
System.out.println(String.format("(%f, %f) -> %f", x, y, value));
}
}
});
SLIDER.valueProperty().addListener((obs, oldVal, newVal) -> {
gc.drawImage(SwingFXUtils.toFXImage(createImage(newVal.doubleValue()), null), 0, 0);
});
BorderPane root = new BorderPane(canvas, null, null, null, SLIDER);
Scene scene = new Scene(root);
primaryStage.setScene(scene);
primaryStage.show();
}
private static double[][] generateData() {
double[][] data = new double[NUM_POINTS][3];
for (int i = 0; i < NUM_POINTS; i++) {
double x = RANDOM.nextDouble() * (MAX_X - MIN_X) + MIN_X;
double y = RANDOM.nextDouble() * (MAX_Y - MIN_Y) + MIN_Y;
double value = RANDOM.nextDouble();
data[i][0] = x;
data[i][1] = y;
data[i][2] = value;
}
return data;
}
private static BufferedImage createImage() {
return createImage(0.5);
}
private static BufferedImage createImage(double threshold) {
BufferedImage image = new BufferedImage(WIDTH, HEIGHT, BufferedImage.TYPE_INT_ARGB);
Graphics2D g2d = image.createGraphics();
double[][] values = new double[NUM_VALUES][NUM_VALUES];
for (int i = 0; i < NUM_VALUES; i++) {
double x = MIN_X + (MAX_X - MIN_X) * i / (NUM_VALUES - 1);
for (int j = 0; j < NUM_VALUES; j++) {
double y = MIN_Y + (MAX_Y - MIN_Y) * j / (NUM_VALUES - 1);
double value = INTERPOLATOR.interpolate(DATA, new double[] {x, y});
values[i][j] = value;
}
}
double minValue = Double.POSITIVE_INFINITY;
double maxValue = Double.NEGATIVE_INFINITY;
for (int i = 0; i < NUM_VALUES; i++) {
for (int j = 0; j < NUM_VALUES; j++) {
if (values[i][j] < minValue) {
minValue = values[i][j];
}
if (values[i][j] > maxValue) {
maxValue = values[i][j];
}
}
}
for (int i = 0; i < NUM_VALUES; i++) {
for (int j = 0; j < NUM_VALUES; j++) {
double x = MIN_X + (MAX_X - MIN_X) * i / (NUM_VALUES - 1);
double y = MIN_Y + (MAX_Y - MIN_Y) * j / (NUM_VALUES - 1);
double value = values[i][j];
if (value < minValue) {
value = minValue;
}
if (value > maxValue) {
value = maxValue;
}
double ratio = (value - minValue) / (maxValue - minValue);
if (ratio < threshold) {
continue;
}
Color color = getColor(ratio);
g2d.setColor(new Color(color.getRed(), color.getGreen(), color.getBlue(), (int) (ALPHA * 255)));
int x1 = (int) Math.round((i - 0.5) * WIDTH / NUM_VALUES);
int y1 = (int) Math.round((j - 0.5) * HEIGHT / NUM_VALUES);
int x2 = (int) Math.round((i + 0.5) * WIDTH / NUM_VALUES);
int y2 = (int) Math.round((j + 0.5) * HEIGHT / NUM_VALUES);
g2d.fill(new Rectangle2D.Double(x1, y1, x2 - x1, y2 - y1));
}
}
g2d.dispose();
return image;
}
private static Color getColor(double ratio) {
int index = 0;
for (int i = 0; i < COLOR_THRESHOLDS.length; i++) {
if (ratio >= COLOR_THRESHOLDS[i]) {
index = i + 1;
}
}
if (index >= COLORS.length) {
index = COLORS.length - 1;
}
return COLORS[index];
}
}
```
这个示例程序创建了一个名为HeatMap的JavaFX应用程序,使用Apache Commons Math库来执行克里金插值,并使用Java 2D API绘制热力图。它的主要思路是,首先生成一些随机数据点,然后使用克里金插值算法对它们进行插值并生成一个平滑的表面。然后,将这个表面转换为热力图,根据表面的高度值来选择颜色和透明度,以便更好地显示数据的分布。在这个示例程序中,你可以使用鼠标单击热力图上的任何点来获得该点的值。程序还包括一个滑块,可用于调整热力图的阈值,以控制要绘制的数据的数量。
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