- getAbbreviation() - Method in enum org.tinfour.gwr.SurfaceModel
-
Gets a three letter abbreviation indicating the model type,
intended for tabular data output.
- getAdjustedR2() - Method in class org.tinfour.gwr.SurfaceGwr
-
Gets the adjusted R2 value.
- getAICc() - Method in class org.tinfour.gwr.GwrInterpolator
-
Get the Akaike information criterion (corrected) organized so that the
minimum value is preferred.
- getAICc() - Method in class org.tinfour.gwr.SurfaceGwr
-
Get the Akaike information criterion (corrected) organized so that the
minimum value is preferred.
- getAutomaticBandwidthTestCount() - Method in class org.tinfour.gwr.GwrInterpolator
-
Gets the number of tests performed in selecting a bandwidth
via the automatic selection method.
- getBandwidth() - Method in class org.tinfour.gwr.GwrInterpolator
-
Get the bandwidth setting used in the most recent interpolation.
- getBandwidthSelectionMethod() - Method in class org.tinfour.gwr.GwrInterpolator
-
Gets the method used for the most recent bandwidth selection.
- getCoefficientCount() - Method in enum org.tinfour.gwr.SurfaceModel
-
- getCoefficients() - Method in class org.tinfour.gwr.GwrInterpolator
-
Gets the coefficients computed by the most recent regression
calculation, or a zero-length array if no results are available.
- getCoefficients() - Method in class org.tinfour.gwr.SurfaceGwr
-
Gets the computed polynomial coefficients from the regression
(the "beta" parameters that).
- getConfidenceIntervalHalfSpan(double) - Method in class org.tinfour.gwr.GwrInterpolator.BootstrapResult
-
Get the half space (single side) of the confidence interval
for the bootstrap analysis.
- getDegreesOfFreedom() - Method in class org.tinfour.gwr.SurfaceGwr
-
Gets the number of degrees of freedom for the most recent computation
based on a ordinary least squares treatment (weighting neglected)
- getDistance() - Method in class org.tinfour.gwr.NeighborhoodPoint
-
Get the distance value associated with the point
- getDistanceSq(double, double) - Method in class org.tinfour.gwr.NeighborhoodPoint
-
- getEffectiveDegreesOfFreedom() - Method in class org.tinfour.gwr.GwrInterpolator
-
Get the effective degrees of freedom for the a chi-squared distribution
which approximates the distribution of the GWR.
- getEffectiveDegreesOfFreedom() - Method in class org.tinfour.gwr.SurfaceGwr
-
Get the effective degrees of freedom for the a chi-squared distribution
which approximates the distribution of the GWR.
- getEstimatedValue(double, double) - Method in class org.tinfour.gwr.SurfaceGwr
-
- getF() - Method in class org.tinfour.gwr.SurfaceGwr
-
Gets the F statistic for the regression result which may be used in
hypothesis testing for evaluating the regression.
- getHatMatrix() - Method in class org.tinfour.gwr.SurfaceGwr
-
- getIndependentVariableCount() - Method in enum org.tinfour.gwr.SurfaceModel
-
- getLeungDelta1() - Method in class org.tinfour.gwr.GwrInterpolator
-
Get leung's delta parameter
- getLeungDelta1() - Method in class org.tinfour.gwr.SurfaceGwr
-
Get leung's delta parameter
- getLeungDelta2() - Method in class org.tinfour.gwr.GwrInterpolator
-
Get Leung's delta2 parameter.
- getLeungDelta2() - Method in class org.tinfour.gwr.SurfaceGwr
-
Get Leung's delta2 parameter.
- getMean() - Method in class org.tinfour.gwr.GwrInterpolator.BootstrapResult
-
Get the mean predicted value at the query point as determined by
bootstrap analysis.
- getMethod() - Method in class org.tinfour.gwr.GwrTinInterpolator
-
- getMinimumRequiredSamples(SurfaceModel) - Method in class org.tinfour.gwr.SurfaceGwr
-
Get the minimum number of samples required to perform a
regression for the specified surface model
- getModel() - Method in class org.tinfour.gwr.SurfaceGwr
-
Get the surface model associated with this instance.
- getN() - Method in class org.tinfour.gwr.GwrInterpolator.BootstrapResult
-
Get the number of successful trials used in the calculation of the
mean and variance for the bootstrap analysis.
- getPoint() - Method in class org.tinfour.gwr.NeighborhoodPoint
-
get the sample-point object stored in this instance.
- getPredictionInterval(double) - Method in class org.tinfour.gwr.GwrInterpolator
-
Gets the prediction interval at the interpolation coordinates
on the observed response for the most recent call to computeRegression.
- getPredictionInterval(double) - Method in class org.tinfour.gwr.SurfaceGwr
-
Gets the prediction interval at the interpolation coordinates
on the observed response for the most recent call to computeRegression.
- getPredictionIntervalHalfRange(double) - Method in class org.tinfour.gwr.GwrInterpolator
-
Gets a value equal to one half of the range of the prediction interval
on the observed response at the interpolation coordinates for the
most recent call to computeRegression().
- getPredictionIntervalHalfRange(double) - Method in class org.tinfour.gwr.SurfaceGwr
-
Gets a value equal to one half of the range of the prediction interval
on the observed response at the interpolation coordinates for the
most recent call to computeRegression().
- getQueryCoordinates() - Method in class org.tinfour.gwr.SurfaceGwr
-
Get the coordinates used for the initial query
- getR2() - Method in class org.tinfour.gwr.SurfaceGwr
-
Get the r-squared value, the coefficient of multiple regression.
- getResiduals() - Method in class org.tinfour.gwr.GwrInterpolator
-
Gets the residuals from the most recent regression calculation.
- getResiduals() - Method in class org.tinfour.gwr.SurfaceGwr
-
Gets the residuals from the most recent regression calculation.
- getResidualSumOfTheSquares() - Method in class org.tinfour.gwr.GwrInterpolator
-
Gets the residual sum of the squared errors (residuals) for
the predicted versus the observed values at the sample locations.
- getResidualSumOfTheSquares() - Method in class org.tinfour.gwr.SurfaceGwr
-
Gets the residual sum of the squared errors (residuals) for
the predicted versus the observed values at the sample locations.
- getSampleCount() - Method in class org.tinfour.gwr.GwrTinInterpolator
-
Gets the number of samples used in the most recent calculation.
- getSampleCount() - Method in class org.tinfour.gwr.SurfaceGwr
-
Gets the number of samples from the most recent computation
- getSampleDistanceMean() - Method in class org.tinfour.gwr.GwrTinInterpolator
-
Gets the mean distance of the samples from the most
recent interpolation point
- getSamples() - Method in class org.tinfour.gwr.GwrInterpolator
-
Gets the samples from the most recent computation.
- getSamples() - Method in class org.tinfour.gwr.SurfaceGwr
-
Gets the samples from the most recent computation.
- getSampleVertices() - Method in class org.tinfour.gwr.GwrTinInterpolator
-
Get the samples used in the most recent interpolation.
- getSigmaML() - Method in class org.tinfour.gwr.GwrInterpolator
-
Gets the ML Sigma value used in the AICc calculation.
- getSigmaML() - Method in class org.tinfour.gwr.SurfaceGwr
-
Gets the ML Sigma value used in the AICc calculation.
- getSlope() - Method in class org.tinfour.gwr.GwrInterpolator
-
Gets the slope for the most recent computation expressed as
the fraction change in elevation over a horizontal distance
(i.e. rise-over-run).
- getStandardDeviation() - Method in class org.tinfour.gwr.GwrInterpolator
-
Gets an unbiased estimate of the the standard deviation
of the residuals for the predicted values for all samples.
- getStandardDeviation() - Method in class org.tinfour.gwr.SurfaceGwr
-
Gets an unbiased estimate of the the standard deviation
of the residuals for the predicted values for all samples.
- getSurfaceModel() - Method in class org.tinfour.gwr.GwrInterpolator
-
Gets the surface model for the most recently performed
interpolation.
- getSurfaceNormal() - Method in class org.tinfour.gwr.GwrInterpolator
-
Gets the unit normal to the surface at the position of the most
recent interpolation.
- getVariance() - Method in class org.tinfour.gwr.GwrInterpolator.BootstrapResult
-
Get the variance of the predicted values as determined by
bootstrap analysis.
- getVariance() - Method in class org.tinfour.gwr.GwrInterpolator
-
Gets an unbiased estimate of the variance of the residuals
for the predicted values for all samples.
- getVariance() - Method in class org.tinfour.gwr.SurfaceGwr
-
Gets an unbiased estimate of the variance of the residuals
for the predicted values for all samples.
- getWeights() - Method in class org.tinfour.gwr.GwrInterpolator
-
Gets an array of weights from the most recent computation.
- getWeights() - Method in class org.tinfour.gwr.SurfaceGwr
-
Gets an array of weights from the most recent computation.
- getX() - Method in class org.tinfour.gwr.NeighborhoodPoint
-
- getY() - Method in class org.tinfour.gwr.NeighborhoodPoint
-
- getZ() - Method in class org.tinfour.gwr.NeighborhoodPoint
-
- GwrInterpolator - Class in org.tinfour.gwr
-
Provides methods and elements for performing interpolation over a
surface using linear regression methods to develop a polynomial
z = p(x, y) describing the surface in the region of the interpolation
coordinates.
- GwrInterpolator() - Constructor for class org.tinfour.gwr.GwrInterpolator
-
Standard constructor.
- GwrInterpolator.BootstrapResult - Class in org.tinfour.gwr
-
A container for the results from a bootstrap analysis
- GwrTinInterpolator - Class in org.tinfour.gwr
-
Provides methods and elements for performing interpolation over a
surface using linear regression methods to develop a polynomial
z = f(x, y) describing the surface in the region of the interpolation
coordinates.
- GwrTinInterpolator(IIncrementalTin) - Constructor for class org.tinfour.gwr.GwrTinInterpolator
-
Construct an interpolator that operates on the specified TIN.
- GwrTinInterpolator(IIncrementalTin, int) - Constructor for class org.tinfour.gwr.GwrTinInterpolator
-
Construct an interpolator that operates on the specified TIN.