Package org.meteoinfo.data

Class DataMath

java.lang.Object

org.meteoinfo.data.DataMath

public abstract class DataMath
extends java.lang.Object

Template

Constructor Summary

Constructors

Constructor	Description
DataMath()

Method Summary

Modifier and Type	Method	Description
static java.lang.Object	abs(java.lang.Object a)	Take abstract value
static java.lang.Object	acos(java.lang.Object a)	Take anti-cosine value
static java.lang.Object	add(java.lang.Object a, java.lang.Object b)	Tack add operator of two objects
static java.lang.Object	asin(java.lang.Object a)	Take anti-sine value
static java.lang.Object	atan(java.lang.Object a)	Take anti-tangent value
static GridData	average(java.util.List<GridData> gDataList)	Calculate average grid data from grid data list
static GridData	average(java.util.List<GridData> gDataList, boolean ignoreUndef)	Calculate average grid data from grid data list
static GridData	average(java.util.List<GridData> gDataList, boolean ignoreUndef, int validNum)	Calculate average grid data from grid data list
static GridData	cdiff(GridData aData, boolean isX)	Performs a centered difference operation on a grid data in the x or y direction
static java.lang.Object	cos(java.lang.Object a)	Take cosine value
static java.lang.Object	div(java.lang.Object a, java.lang.Object b)	Take divide operator of two objects
static GridData	div_1(double value, GridData gridData)	Divide operation between a double value and a grid data
static StationData	div_1(double value, StationData stData)	Divide operator between a double value and a station data
static java.lang.Object	exp(java.lang.Object a)	Take e base power value
static java.lang.Object[]	gauss2Lats(int nlat)	This function provides latitudes on a Gaussian grid from the number of latitude lines
static double[]	getDSFromUV(double U, double V)	Get wind direction/speed from U/V
static GridData[]	getDSFromUV(GridData uData, GridData vData)	Get wind direction/speed grid data from wind U/V grid data
static StationData[]	getDSFromUV(StationData uData, StationData vData)	Get wind direction/speed station data from wind U/V station data
static double[]	getEndPoint(double x, double y, double angle, double len)	Get end point by start point, angle and length
static float	getR(java.util.List<java.lang.Double> xData, java.util.List<java.lang.Double> yData)	Get correlation coefficient How well did the forecast values correspond to the observed values? Range: -1 to 1.
static float	getR(ColumnData xcData, ColumnData ycData)	Get correlation coefficient How well did the forecast values correspond to the observed values? Range: -1 to 1.
static double[]	getUVFromDS(double windDir, double windSpeed)	Get wind U/V from wind direction/speed
static GridData[]	getUVFromDS(GridData windDirData, GridData windSpeedData)	Get wind U/V grid data from wind direction/speed grid data
static StationData[]	getUVFromDS(StationData windDirData, StationData windSpeedData)	Get wind U/V station data from wind direction/speed station data
static GridData	hcurl(GridData uData, GridData vData)	Calculates the vertical component of the curl (ie, vorticity)
static GridData	hdivg(GridData uData, GridData vData)	Calculates the horizontal divergence using finite differencing
static double[]	leastSquareTrend(double[] xData, double[] yData)	Determine the least square trend equation - linear fitting
static GridData	leastSquareTrend(java.util.List<GridData> dataList, double[] xData)	Determine the least square trend equation - linear fitting
static java.lang.Object	log(java.lang.Object a)	Take logrithm value
static java.lang.Object	log10(java.lang.Object a)	Take 10 base logrithm value
static GridData	magnitude(GridData uData, GridData vData)	Take magnitude value from U/V grid data
static StationData	magnitude(StationData uData, StationData vData)	Take magnitude value from U/V station data
static double[]	mann_Kendall_Trend(double[] ts)	Mann-Kendall trend statistics
static double[]	mann_Kendall_Trend(java.util.List<java.lang.Double> ts)	Mann-Kendall trend statistics
static double[]	mann_Kendall_Trend_1(double[] ts)	Mann-Kendall trend statistics
static StationData	mean(java.util.List<StationData> datalist)	Compute the arithmetic mean station data
static java.lang.Object	mul(java.lang.Object a, java.lang.Object b)	Take multiply operator of two objects
static java.lang.Object	pow(java.lang.Object a, double p)	Take power value
static java.lang.Object	sin(java.lang.Object a)	Take sine value
static java.lang.Object	sqrt(java.lang.Object a)	Take squre root value
static GridData	sub(double value, GridData gridData)	Subtract operation between a double value and a grid data
static StationData	sub(double value, StationData stData)	Subtract operator between a double value and a station data
static java.lang.Object	sub(java.lang.Object a, java.lang.Object b)	Take subtract operator of two objects
static double	sum(double[] values)	Summary the value array
static java.lang.Object	tan(java.lang.Object a)	Take tangent value

Methods inherited from class java.lang.Object

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

Constructor Detail

DataMath

public DataMath()

Method Detail

add

public static java.lang.Object add(java.lang.Object a,
                                   java.lang.Object b)

Tack add operator of two objects

Parameters:

a - Object a

b - Object b

Returns:

Result object

sub

public static java.lang.Object sub(java.lang.Object a,
                                   java.lang.Object b)

Take subtract operator of two objects

Parameters:

a - Object a

b - Object b

Returns:

Result object

sub

public static GridData sub(double value,
                           GridData gridData)

Subtract operation between a double value and a grid data

Parameters:

value - Double value

gridData - Grid data

Returns:

Result grid data

sub

public static StationData sub(double value,
                              StationData stData)

Subtract operator between a double value and a station data

Parameters:

value - The value

stData - Station data

Returns:

Result station data

mul

public static java.lang.Object mul(java.lang.Object a,
                                   java.lang.Object b)

Take multiply operator of two objects

Parameters:

a - Object a

b - Object b

Returns:

Result object

div

public static java.lang.Object div(java.lang.Object a,
                                   java.lang.Object b)

Take divide operator of two objects

Parameters:

a - Object a

b - Object b

Returns:

Result object

div_1

public static GridData div_1(double value,
                             GridData gridData)

Divide operation between a double value and a grid data

Parameters:

value - Double value

gridData - Grid data

Returns:

Result grid data

div_1

public static StationData div_1(double value,
                                StationData stData)

Divide operator between a double value and a station data

Parameters:

value - The value

stData - Station data

Returns:

Result station data

getUVFromDS

public static double[] getUVFromDS(double windDir,
                                   double windSpeed)

Get wind U/V from wind direction/speed

Parameters:

windDir - The wind direction

windSpeed - The wind speed

Returns:

Wind U/V

getUVFromDS

public static GridData[] getUVFromDS(GridData windDirData,
                                     GridData windSpeedData)

Get wind U/V grid data from wind direction/speed grid data

Parameters:

windDirData - Wind directoin grid data

windSpeedData - Wind speed grid data

Returns:

U/V grid data

getUVFromDS

public static StationData[] getUVFromDS(StationData windDirData,
                                        StationData windSpeedData)

Get wind U/V station data from wind direction/speed station data

Parameters:

windDirData - Wind direction station data

windSpeedData - Wind speed station data

Returns:

U/V station data

getDSFromUV

public static double[] getDSFromUV(double U,
                                   double V)

Get wind direction/speed from U/V

Parameters:

U - The U value

V - The V value

Returns:

Wind direction/speed array

getDSFromUV

public static GridData[] getDSFromUV(GridData uData,
                                     GridData vData)

Get wind direction/speed grid data from wind U/V grid data

Parameters:

uData - U grid data

vData - V grid data

Returns:

Wind direction/speed grid data

getDSFromUV

public static StationData[] getDSFromUV(StationData uData,
                                        StationData vData)

Get wind direction/speed station data from wind U/V station data

Parameters:

uData - U station data

vData - V station data

Returns:

Wind direction/speed station data

getEndPoint

public static double[] getEndPoint(double x,
                                   double y,
                                   double angle,
                                   double len)

Get end point by start point, angle and length

Parameters:

x - Start point x

y - Start point y

angle - Angle

len - Length

Returns:

End point x/y values;

sum

public static double sum(double[] values)

Summary the value array

Parameters:

values - Values

Returns:

Summary

abs

public static java.lang.Object abs(java.lang.Object a)

Take abstract value

Parameters:

a - Object a

Returns:

Result object

asin

public static java.lang.Object asin(java.lang.Object a)

Take anti-sine value

Parameters:

a - Object a

Returns:

Result object

acos

public static java.lang.Object acos(java.lang.Object a)

Take anti-cosine value

Parameters:

a - Object a

Returns:

Result object

atan

public static java.lang.Object atan(java.lang.Object a)

Take anti-tangent value

Parameters:

a - Object a

Returns:

Result object

sin

public static java.lang.Object sin(java.lang.Object a)

Take sine value

Parameters:

a - Object a

Returns:

Result object

cos

public static java.lang.Object cos(java.lang.Object a)

Take cosine value

Parameters:

a - Object a

Returns:

Result object

tan

public static java.lang.Object tan(java.lang.Object a)

Take tangent value

Parameters:

a - Object a

Returns:

Result object

exp

public static java.lang.Object exp(java.lang.Object a)

Take e base power value

Parameters:

a - Object a

Returns:

Result object

pow

public static java.lang.Object pow(java.lang.Object a,
                                   double p)

Take power value

Parameters:

a - Object a

p - Power value

Returns:

Result object

log

public static java.lang.Object log(java.lang.Object a)

Take logrithm value

Parameters:

a - Object a

Returns:

Result object

log10

public static java.lang.Object log10(java.lang.Object a)

Take 10 base logrithm value

Parameters:

a - Object a

Returns:

Result object

sqrt

public static java.lang.Object sqrt(java.lang.Object a)

Take squre root value

Parameters:

a - Object a

Returns:

Result object

average

public static GridData average(java.util.List<GridData> gDataList)

Calculate average grid data from grid data list

Parameters:

gDataList - Grid data list

Returns:

Averaged grid data

average

public static GridData average(java.util.List<GridData> gDataList,
                               boolean ignoreUndef)

Calculate average grid data from grid data list

Parameters:

gDataList - Grid data list

ignoreUndef - If ignore missing data

Returns:

Averaged grid data

average

public static GridData average(java.util.List<GridData> gDataList,
                               boolean ignoreUndef,
                               int validNum)

Calculate average grid data from grid data list

Parameters:

gDataList - Grid data list

ignoreUndef - If ignore missing value

validNum - Valid number

Returns:

Averaged grid data

mean

public static StationData mean(java.util.List<StationData> datalist)

Compute the arithmetic mean station data

Parameters:

datalist - station data list

Returns:

Mean station data

leastSquareTrend

public static double[] leastSquareTrend(double[] xData,
                                        double[] yData)

Determine the least square trend equation - linear fitting

Parameters:

xData - X data array

yData - Y data array

Returns:

Result array - y intercept and slope

leastSquareTrend

public static GridData leastSquareTrend(java.util.List<GridData> dataList,
                                        double[] xData)

Determine the least square trend equation - linear fitting

Parameters:

dataList - Grid data list

xData - X data array

Returns:

Result grid data - slop

getR

public static float getR(java.util.List<java.lang.Double> xData,
                         java.util.List<java.lang.Double> yData)

Get correlation coefficient How well did the forecast values correspond to the observed values? Range: -1 to 1. Perfect score: 1.

Parameters:

xData - X data array

yData - Y data array

Returns:

Correlation coefficent

getR

public static float getR(ColumnData xcData,
                         ColumnData ycData)

Get correlation coefficient How well did the forecast values correspond to the observed values? Range: -1 to 1. Perfect score: 1.

Parameters:

xcData - X data array

ycData - Y data array

Returns:

Correlation coefficent

mann_Kendall_Trend

public static double[] mann_Kendall_Trend(java.util.List<java.lang.Double> ts)

Mann-Kendall trend statistics

Parameters:

ts - Input data list

Returns:

Result array - z (trend)/beta (change value per unit time)

mann_Kendall_Trend

public static double[] mann_Kendall_Trend(double[] ts)

Mann-Kendall trend statistics

Parameters:

ts - Input data array

Returns:

Result array - z (trend)/beta (change value per unit time)

mann_Kendall_Trend_1

public static double[] mann_Kendall_Trend_1(double[] ts)

Mann-Kendall trend statistics

Parameters:

ts - Input data array

Returns:

Result array - z (trend)/beta (change value per unit time)

magnitude

public static GridData magnitude(GridData uData,
                                 GridData vData)

Take magnitude value from U/V grid data

Parameters:

uData - U grid data

vData - V grid data

Returns:

Magnitude grid data

magnitude

public static StationData magnitude(StationData uData,
                                    StationData vData)

Take magnitude value from U/V station data

Parameters:

uData - U station data

vData - V station data

Returns:

Magnitude station data

cdiff

public static GridData cdiff(GridData aData,
                             boolean isX)

Performs a centered difference operation on a grid data in the x or y direction

Parameters:

aData - The grid data

isX - If is x direction

Returns:

Result grid data

hcurl

public static GridData hcurl(GridData uData,
                             GridData vData)

Calculates the vertical component of the curl (ie, vorticity)

Parameters:

uData - U component

vData - V component

Returns:

Curl

hdivg

public static GridData hdivg(GridData uData,
                             GridData vData)

Calculates the horizontal divergence using finite differencing

Parameters:

uData - U component

vData - V component

Returns:

Divergence

gauss2Lats

public static java.lang.Object[] gauss2Lats(int nlat)

This function provides latitudes on a Gaussian grid from the number of latitude lines

Parameters:

nlat - the number of latitude lines

Returns:

The latitudes of hemisphere