Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
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Results 1 - 10 of 23 found.
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Points (Package: UncerIn2) : Creates S4 object class Points

This function creates an object of S4 class Points.
● Data Source: CranContrib
● Keywords:
● Alias: Points
● 0 images

splineUncertain (Package: UncerIn2) : Spline interpolation

This function provides Spline interpolation over the input data enriched by the uncertainty. The input data must be an S4 object class of UncertainPoints and grid type of data.frame. Output object is type of S4 class UncertainInterpolation.
● Data Source: CranContrib
● Keywords:
● Alias: splineUncertain, splineUncertain,UncertainPoints,data.frame-method
● 0 images

uncertaintyRandomNumber (Package: UncerIn2) : Creates S4 object class UncertainPoints

Builds an uncertainty model based on the imprecision made by random number (from defined interval) over the input data. Input data must be type of S4 class Points. Output object is type of S4 class UncertainPoints.
● Data Source: CranContrib
● Keywords:
● Alias: uncertaintyRandomNumber
● 0 images

Plot (Package: UncerIn2) : Plotting S4 class UncertainInterpolation

This function provides the plotting of S4 object class UncertainInterpolation.
● Data Source: CranContrib
● Keywords:
● Alias: Plot, Plot,UncertainInterpolation-method
● 0 images

Grid.box (Package: UncerIn2) : Generation of grid defined by surrounding box

This method creates a grid defined in two possible ways - the user should decide if spatial grid is required (gridded = TRUE/FALSE). The size of the grid is recognized by the input data coordinates. User should define size of the single cell.
● Data Source: CranContrib
● Keywords:
● Alias: Grid.box, Grid.box,Points-method
● 0 images

krigingUncertain (Package: UncerIn2) : Krigging and Fuzzy kriging interpolation

This function provides kriging interpolation over the input data enriched by the uncertainty with multiple dispatch. The input data must be an S4 object class of UncertainPoints or Points in case of Fuzzy kriging. Grid type of Spatial. Output object is type of S4 class UncertainInterpolation or in case of Fuzzy kriging S4 class FuzzyInterpolation. For more informations about fuzzy kriging interpolation read Details.
● Data Source: CranContrib
● Keywords:
● Alias: krigingUncertain, krigingUncertain,Points,Spatial-method, krigingUncertain,UncertainPoints,Spatial-method
● 0 images

Points-class (Package: UncerIn2) : S4 class Representing a class Points

Definition of class for input data of numeric format x/y/z. Also defines input data format into the functions of package UncerIn2, which are building uncertainty models over input data. Where x, y should represent coordinates and z variable.
● Data Source: CranContrib
● Keywords:
● Alias: Points-class
● 0 images

uncertaintyRandomPercent (Package: UncerIn2) : Creates S4 object class UncertainPoints

Builds an uncertainty model based on the imprecision made by random percent (from defined interval) over the input data. Input data must be type of S4 class Points. Output object is type of S4 class UncertainPoints.
● Data Source: CranContrib
● Keywords:
● Alias: uncertaintyRandomPercent
● 0 images

Grid.def (Package: UncerIn2) : Generation of grid with defined number of cels

This method creates a grid defined in two possible ways - the user should decide if spatial grid is required (gridded = TRUE/FALSE). The size of the grid should be also defined by the user.
● Data Source: CranContrib
● Keywords:
● Alias: Grid.def, Grid.def,Points-method
● 0 images

as.dataframe (Package: UncerIn2) : Transformation of S4 class Points or UncertainPoints into data.frame

This function provides the transformation of S4 object class UncertainPoints or Points into the data.frame data format.
● Data Source: CranContrib
● Keywords:
● Alias: as.dataframe, as.dataframe,Points-method, as.dataframe,UncertainPoints-method
● 0 images