程序包 org.meteoinfo.math.interpolate

类 InterpUtil

java.lang.Object

org.meteoinfo.math.interpolate.InterpUtil

public class InterpUtil
extends Object

作者:

Yaqiang Wang

构造器概要

构造器

构造器	说明
InterpUtil()

方法概要

限定符和类型	方法	说明
static ucar.ma2.Array	barnes(List<Number> x_s, List<Number> y_s, ucar.ma2.Array v_s, List<Number> X, List<Number> Y, double kappa, double gamma)	Barnes analysis
static ucar.ma2.Array	barnes(List<Number> x_s, List<Number> y_s, ucar.ma2.Array v_s, List<Number> X, List<Number> Y, List<Number> radList, double kappa, double gamma)	Barnes analysis
static ucar.ma2.Array	cressman(List<Number> x_s, List<Number> y_s, ucar.ma2.Array v_s, List<Number> X, List<Number> Y, List<Number> radList)	Cressman analysis
static double	evaluate(org.apache.commons.math3.analysis.BivariateFunction func, Number x, Number y)	Compute the value of the function
static ucar.ma2.Array	evaluate(org.apache.commons.math3.analysis.BivariateFunction func, ucar.ma2.Array x, ucar.ma2.Array y)	Compute the value of the function
static double	evaluate(org.apache.commons.math3.analysis.UnivariateFunction func, Number x)	Compute the value of the function
static ucar.ma2.Array	evaluate(org.apache.commons.math3.analysis.UnivariateFunction func, ucar.ma2.Array x)	Compute the value of the function
static org.apache.commons.math3.analysis.BivariateFunction	getBiInterpFunc(ucar.ma2.Array x, ucar.ma2.Array y, ucar.ma2.Array z)	Make interpolation function for grid data
static org.apache.commons.math3.analysis.UnivariateFunction	getInterpFunc(ucar.ma2.Array x, ucar.ma2.Array y, String kind)	Make interpolation function
static org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction	linearInterpFunc(ucar.ma2.Array x, ucar.ma2.Array y)	Make linear interpolation function - PolynomialSplineFunction

从类继承的方法 java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

构造器详细资料

InterpUtil

public InterpUtil()

方法详细资料

linearInterpFunc

public static org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction linearInterpFunc(ucar.ma2.Array x,
                                                                                                      ucar.ma2.Array y)

Make linear interpolation function - PolynomialSplineFunction

参数:

x - X data

y - Y data

返回:

Linear interpolation function

getInterpFunc

public static org.apache.commons.math3.analysis.UnivariateFunction getInterpFunc(ucar.ma2.Array x,
                                                                                 ucar.ma2.Array y,
                                                                                 String kind)

Make interpolation function

参数:

x - X data

y - Y data

kind - Specifies the kind of interpolation as a string (‘linear’, 'spline').

返回:

Interpolation function

getBiInterpFunc

public static org.apache.commons.math3.analysis.BivariateFunction getBiInterpFunc(ucar.ma2.Array x,
                                                                                  ucar.ma2.Array y,
                                                                                  ucar.ma2.Array z)

Make interpolation function for grid data

参数:

x - X data

y - Y data

z - Z data

返回:

Interpolation function

evaluate

public static ucar.ma2.Array evaluate(org.apache.commons.math3.analysis.UnivariateFunction func,
                                      ucar.ma2.Array x)

Compute the value of the function

参数:

func - The function

x - Input data

返回:

Function value

evaluate

public static double evaluate(org.apache.commons.math3.analysis.UnivariateFunction func,
                              Number x)

Compute the value of the function

参数:

func - The function

x - Input data

返回:

Function value

evaluate

public static ucar.ma2.Array evaluate(org.apache.commons.math3.analysis.BivariateFunction func,
                                      ucar.ma2.Array x,
                                      ucar.ma2.Array y)

Compute the value of the function

参数:

func - The function

x - Input x data

y - Input y data

返回:

Function value

evaluate

public static double evaluate(org.apache.commons.math3.analysis.BivariateFunction func,
                              Number x,
                              Number y)

Compute the value of the function

参数:

func - The function

x - Input x data

y - Input y data

返回:

Function value

cressman

public static ucar.ma2.Array cressman(List<Number> x_s,
                                      List<Number> y_s,
                                      ucar.ma2.Array v_s,
                                      List<Number> X,
                                      List<Number> Y,
                                      List<Number> radList)

Cressman analysis

参数:

x_s - scatter X array

y_s - scatter Y array

v_s - scatter value array

X - x array

Y - y array

radList - radii list

返回:

result grid data

barnes

public static ucar.ma2.Array barnes(List<Number> x_s,
                                    List<Number> y_s,
                                    ucar.ma2.Array v_s,
                                    List<Number> X,
                                    List<Number> Y,
                                    List<Number> radList,
                                    double kappa,
                                    double gamma)

Barnes analysis

参数:

x_s - scatter X array

y_s - scatter Y array

v_s - scatter value array

X - x array

Y - y array

radList - radii list

kappa - A falloff parameter that controls the width of the Gaussian function

gamma - The smoothing parameter, is constrained to be between 0.2 and 1.0

返回:

result grid data

barnes

public static ucar.ma2.Array barnes(List<Number> x_s,
                                    List<Number> y_s,
                                    ucar.ma2.Array v_s,
                                    List<Number> X,
                                    List<Number> Y,
                                    double kappa,
                                    double gamma)

Barnes analysis

参数:

x_s - scatter X array

y_s - scatter Y array

v_s - scatter value array

X - x array

Y - y array

kappa - A falloff parameter that controls the width of the Gaussian function

gamma - The smoothing parameter, is constrained to be between 0.2 and 1.0

返回:

result grid data