org.das2.dataset.AverageTableRebinner

DataSetRebinner implementing either bilinear interpolation in blocks of 4 points, or nearest neighbor interpolation by grabbing close points, or no interpolation at all.. Points the land on the same pixel are averaged together.

AverageTableRebinner( )

Creates a new instance of TableAverageRebinner

PROP_CADENCECHECK

PROP_INTERPOLATETYPE

addPropertyChangeListener

addPropertyChangeListener( java.beans.PropertyChangeListener listener ) → void

Parameters

listener - a PropertyChangeListener

Returns:

void (returns nothing)

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getInterpolateType

getInterpolateType( ) → Interpolate

Returns:

org.das2.dataset.AverageTableRebinner.Interpolate

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isCadenceCheck

isCadenceCheck( ) → boolean

Returns:

boolean

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isEnlargePixels

isEnlargePixels( ) → boolean

Returns:

boolean

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isInterpolate

isInterpolate( ) → boolean

"Interpolate" here simply means connecting the data points.

Returns:

true indicates we should connect the data points.

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isInterpolateXThenY

isInterpolateXThenY( ) → boolean

Returns:

boolean

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rebin

rebin( QDataSet ds, org.das2.dataset.RebinDescriptor ddX, org.das2.dataset.RebinDescriptor ddY, org.das2.dataset.RebinDescriptor ddZ ) → QDataSet

rebin the data, using the interpolate control to define the interpolation between measurements. Data that fall into the same pixel are always averaged in the linear space, regardless of interpolation method.