Classes | |
class | mio::Meteo1DInterpolator |
A class that can resample MeteoData objects. More... | |
class | mio::Meteo2DInterpolator |
A class to spatially interpolate meteo parameters. For more, see Spatial interpolations. More... | |
class | mio::ResamplingAlgorithms2D |
Spatial resampling algorithms. More... | |
class | mio::ResamplingAlgorithms |
Interface class for the temporal resampling algorithms These models generate data points that are missing based on neighbouring points in a time series. More... | |
class | mio::InterpolationAlgorithm |
A class to perform 2D spatial interpolations. For more, see Spatial interpolations. More... | |
class | mio::Fit1D |
A class to perform 1D regressions It works on a time serie and uses either ad-hoc methods or matrix arithmetic to perform an arbitrary fit. Currently, the following models are supported: More... | |
class | mio::FitLeastSquare |
A class to perform non-linear least square fitting. It works on a time serie and uses matrix arithmetic to perform an arbitrary fit (see http://mathworld.wolfram.com/NonlinearLeastSquaresFitting.html). More... | |
class | mio::Interpol1D |
A class to perform basic 1D statistics. Each method is static. More... | |
class | mio::Interpol2D |
A class to perform 2D spatial interpolations. Each parameter to be interpolated declares which interpolation method to use. Then the class computes the interpolation for each 2D grid point, combining the inputs provided by the available data sources. More... | |
Documentation for available statistical calculations. This is heavily used by the Available data processing elements as well as the 1D interpolations and 2D interpolations.