Inverse Distance Weighting interpolation algorithm. Each cell receives the weighted average of the whole data set with weights being 1/r² (r being the distance of the current cell to the contributing station) and renormalized (so that the sum of the weights is equal to 1.0).
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const std::string | algo |
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size_t | getData (const Date &i_date, const MeteoData::Parameters &i_param, std::vector< double > &o_vecData) |
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size_t | getData (const Date &i_date, const MeteoData::Parameters &i_param, std::vector< double > &o_vecData, std::vector< StationData > &o_vecMeta) |
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void | getTrend (const std::vector< double > &vecAltitudes, const std::vector< double > &vecDat, Fit1D &trend) const |
| Read the interpolation arguments and compute the trend accordingly. More...
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void | simpleWindInterpolate (const DEMObject &dem, const std::vector< double > &vecDataVW, const std::vector< double > &vecDataDW, Grid2DObject &VW, Grid2DObject &DW) |
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static size_t | getStationAltitudes (const std::vector< StationData > &i_vecMeta, std::vector< double > &o_vecData) |
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static void | detrend (const Fit1D &trend, const std::vector< double > &vecAltitudes, std::vector< double > &vecDat, const double &min_alt=-1e4, const double &max_alt=1e4) |
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static void | retrend (const DEMObject &dem, const Fit1D &trend, Grid2DObject &grid, const double &min_alt=-1e4, const double &max_alt=1e4) |
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Meteo2DInterpolator & | mi |
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TimeSeriesManager & | tsmanager |
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GridsManager & | gridsmanager |
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Date | date |
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const std::vector< std::string > | vecArgs |
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std::vector< MeteoData > | vecMeteo |
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std::vector< double > | vecData |
| store the measurement for the given parameter More...
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std::vector< StationData > | vecMeta |
| store the station data for the given parameter More...
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std::ostringstream | info |
| to store some extra information about the interplation process More...
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MeteoData::Parameters | param |
| the parameter that we will interpolate More...
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size_t | nrOfMeasurments |
| the available number of measurements More...
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