Inheritance diagram for w2kmeans::ProbabilisticAdvector< GridType >:
Public Member Functions | |
| ProbabilisticAdvector (const code::TimeInterval &howFarAhead, const std::string &filtername) | |
| filtername is of the form prob:thresh where you are interested in creating probability forecasts that a grid point will experience a dataval > thresh after howFarAhead minutes. | |
| virtual | ~ProbabilisticAdvector () |
| void | setAdvectInterval (const code::TimeInterval &howFarAhead) |
| to change interval after creation. | |
| void | setPreferredScale (size_t newScale) |
| Set the scale of regions to follow. | |
| void | setMaxIsBetter (bool flag) |
| Are smaller values storms (as in infrared temperature) or bigger values (as in radar reflectivity)? | |
| void | setAccelerationCorrection (bool flag) |
| Should we do acceleration correction? By default, we dont. | |
| virtual void | handleMotionEstimate (const GridType &east, const GridType &south, const GridType &incRate, size_t scale, bool complete) |
| simply updates its internal motion vector storage. | |
| bool | advect (GridType &data) |
| advects the data given, returning true if the advection happened. | |
| bool | hasValidMotionEstimate (const code::Time &t) const |
| is the motion estimate that we have valid at this time? | |
| const code::TimeInterval & | getAdvectInterval () const |
| void | setPostprocessingFilter (code::SmartPtr< w2img::ImageFilter > newFilter) |
| Add a postprocessing filter on the advected locations. | |
| void | setRateOfIncreaseFlag (bool inFlag) |
| void | setConstantUVFlag (bool inFlag) |
| By default, every grid point receives a different motion vector, but you can ask for a constant UV to be applied to the entire field by setting this flag. | |
| void | setMaxRateOfIncrease (double maxGrowth, double maxDecay) |
| void | setSplatting (bool) |
| turn on/off splatting during advection. | |
| virtual void | handleIntermediateProduct (const code::DataType &prod) |
Protected Member Functions | |
| virtual bool | doAdvect (const code::Image< float > &orig, const std::string &productName, code::Image< float > *result, double xscale, double yscale, double secs, int directionFactor, const GridType &motx, const GridType &moty, const GridType &growth) |
| does a PUT in a probabilistic sense. | |
| virtual void | setOutputTypeName (GridType &data) |
| Output is Prob_InType_xxxMin and uses ProbabilisticForecast colormap. | |
| std::vector< CombinedProb > & | getConfiguredCombinedProb () |
| void | addAdvectedPixel (int origx, int origy, int newx, int newy, int dimx, int dimy, float current_prob, float expected_prob, const code::Image< float > &splatWeights, std::vector< AdvectedPixel > *advected_pixels) |
| code::Image< float > | createProbabilityKernel (float meanx, float meany, float sigmax, float sigmay, float xscale, float yscale) |
| CombinedProb | getCombinedProb (const std::string &productname, float thresh) |
| virtual void | computeDisorgProb (const std::vector< AdvectedPixel > &advected_pixels, code::Image< float > &disorg) |
| virtual void | computeOrgProb (const std::vector< AdvectedPixel > &advected_pixels, const code::Image< float > &splatKernel, code::Image< float > &disorg) |
| bool | advect (const GridType &data, const std::string &productName, code::Image< float > *result, double xscale, double yscale, double secs) |
| template method that sets up the motion estimates and then calls doAdvect | |
| virtual std::pair< GridType, GridType > | doChangeMotionVectors (const GridType &motx, const GridType &moty, double xscale, double yscale, double secs) |
| Subclasses can over-ride this method to change the motion vector before it is presented to doAdvect. | |
| void | setSplatWeights (const code::Image< float > &wts) |
| the default splat-weights is a Cressman kernel of radius 3 | |
| const code::Image< float > & | getSplatWeights () const |
| float | getForecastValue (float inval, float secs, float growth, int directionFactor) const |
Static Protected Member Functions | |
| static void | setValueIfBetter (code::Image< float > *result, int x, int y, double value, bool is_max_better) |
| static void | setValueIfBetter (code::Image< float > *result, int x, int y, double value, const code::Image< float > &splatWeights, bool is_max_better) |
Protected Attributes | |
| std::map< std::string, ProductParam > | product_params |
| float | dataThresh |
| std::vector< CombinedProb > | combined |
Classes | |
| struct | AdvectedPixel |
| struct | CombinedProb |
| class | ProductParam |
| w2kmeans::ProbabilisticAdvector< GridType >::ProbabilisticAdvector | ( | const code::TimeInterval & | howFarAhead, | |
| const std::string & | filtername | |||
| ) |
filtername is of the form prob:thresh where you are interested in creating probability forecasts that a grid point will experience a dataval > thresh after howFarAhead minutes.
| virtual w2kmeans::ProbabilisticAdvector< GridType >::~ProbabilisticAdvector | ( | ) | [inline, virtual] |
| void w2kmeans::ProbabilisticAdvector< GridType >::addAdvectedPixel | ( | int | origx, | |
| int | origy, | |||
| int | newx, | |||
| int | newy, | |||
| int | dimx, | |||
| int | dimy, | |||
| float | current_prob, | |||
| float | expected_prob, | |||
| const code::Image< float > & | splatWeights, | |||
| std::vector< AdvectedPixel > * | advected_pixels | |||
| ) | [protected] |
| bool w2kmeans::MotionAdvector< GridType >::advect | ( | const GridType & | data, | |
| const std::string & | productName, | |||
| code::Image< float > * | result, | |||
| double | xscale, | |||
| double | yscale, | |||
| double | secs | |||
| ) | [protected, inherited] |
template method that sets up the motion estimates and then calls doAdvect
| bool w2kmeans::MotionAdvector< GridType >::advect | ( | GridType & | data | ) | [inherited] |
advects the data given, returning true if the advection happened.
| virtual void w2kmeans::ProbabilisticAdvector< GridType >::computeDisorgProb | ( | const std::vector< AdvectedPixel > & | advected_pixels, | |
| code::Image< float > & | disorg | |||
| ) | [protected, virtual] |
| virtual void w2kmeans::ProbabilisticAdvector< GridType >::computeOrgProb | ( | const std::vector< AdvectedPixel > & | advected_pixels, | |
| const code::Image< float > & | splatKernel, | |||
| code::Image< float > & | disorg | |||
| ) | [protected, virtual] |
| code::Image<float> w2kmeans::ProbabilisticAdvector< GridType >::createProbabilityKernel | ( | float | meanx, | |
| float | meany, | |||
| float | sigmax, | |||
| float | sigmay, | |||
| float | xscale, | |||
| float | yscale | |||
| ) | [protected] |
| virtual bool w2kmeans::ProbabilisticAdvector< GridType >::doAdvect | ( | const code::Image< float > & | orig, | |
| const std::string & | productName, | |||
| code::Image< float > * | result, | |||
| double | xscale, | |||
| double | yscale, | |||
| double | secs, | |||
| int | directionFactor, | |||
| const GridType & | motx, | |||
| const GridType & | moty, | |||
| const GridType & | growth | |||
| ) | [protected, virtual] |
does a PUT in a probabilistic sense.
Ignores growth rate.
Implements w2kmeans::MotionAdvector< GridType >.
| virtual std::pair<GridType,GridType> w2kmeans::MotionAdvector< GridType >::doChangeMotionVectors | ( | const GridType & | motx, | |
| const GridType & | moty, | |||
| double | xscale, | |||
| double | yscale, | |||
| double | secs | |||
| ) | [inline, protected, virtual, inherited] |
Subclasses can over-ride this method to change the motion vector before it is presented to doAdvect.
| const code::TimeInterval& w2kmeans::MotionAdvector< GridType >::getAdvectInterval | ( | ) | const [inline, inherited] |
| CombinedProb w2kmeans::ProbabilisticAdvector< GridType >::getCombinedProb | ( | const std::string & | productname, | |
| float | thresh | |||
| ) | [protected] |
| std::vector<CombinedProb>& w2kmeans::ProbabilisticAdvector< GridType >::getConfiguredCombinedProb | ( | ) | [inline, protected] |
| float w2kmeans::MotionAdvector< GridType >::getForecastValue | ( | float | inval, | |
| float | secs, | |||
| float | growth, | |||
| int | directionFactor | |||
| ) | const [inline, protected, inherited] |
| const code::Image<float>& w2kmeans::MotionAdvector< GridType >::getSplatWeights | ( | ) | const [inline, protected, inherited] |
| virtual void w2kmeans::MotionEstimateHandler< GridType >::handleIntermediateProduct | ( | const code::DataType & | prod | ) | [virtual, inherited] |
| virtual void w2kmeans::MotionAdvector< GridType >::handleMotionEstimate | ( | const GridType & | east, | |
| const GridType & | south, | |||
| const GridType & | incRate, | |||
| size_t | scale, | |||
| bool | complete | |||
| ) | [virtual, inherited] |
simply updates its internal motion vector storage.
Actual advection is done using this estimate by the advect methods.
Implements w2kmeans::MotionEstimateHandler< GridType >.
| bool w2kmeans::MotionAdvector< GridType >::hasValidMotionEstimate | ( | const code::Time & | t | ) | const [inherited] |
is the motion estimate that we have valid at this time?
| void w2kmeans::MotionAdvector< GridType >::setAccelerationCorrection | ( | bool | flag | ) | [inline, inherited] |
Should we do acceleration correction? By default, we dont.
| void w2kmeans::MotionAdvector< GridType >::setAdvectInterval | ( | const code::TimeInterval & | howFarAhead | ) | [inherited] |
to change interval after creation.
| void w2kmeans::MotionAdvector< GridType >::setConstantUVFlag | ( | bool | inFlag | ) | [inline, inherited] |
By default, every grid point receives a different motion vector, but you can ask for a constant UV to be applied to the entire field by setting this flag.
| void w2kmeans::MotionAdvector< GridType >::setMaxIsBetter | ( | bool | flag | ) | [inherited] |
Are smaller values storms (as in infrared temperature) or bigger values (as in radar reflectivity)?
By default, larger values are better i.e. flag is true.
| void w2kmeans::MotionAdvector< GridType >::setMaxRateOfIncrease | ( | double | maxGrowth, | |
| double | maxDecay | |||
| ) | [inherited] |
| virtual void w2kmeans::ProbabilisticAdvector< GridType >::setOutputTypeName | ( | GridType & | data | ) | [protected, virtual] |
Output is Prob_InType_xxxMin and uses ProbabilisticForecast colormap.
Reimplemented from w2kmeans::MotionAdvector< GridType >.
| void w2kmeans::MotionAdvector< GridType >::setPostprocessingFilter | ( | code::SmartPtr< w2img::ImageFilter > | newFilter | ) | [inline, inherited] |
Add a postprocessing filter on the advected locations.
by default, there is no postprocessing done on these.
| void w2kmeans::MotionAdvector< GridType >::setPreferredScale | ( | size_t | newScale | ) | [inherited] |
Set the scale of regions to follow.
By default, we follow the 1st scale ( 0 is most detailed ) and for every 30 min advance, we go up 1. So a 60min forecaster prefers scale=2, 90min-->3 and so on. Use this method to change this default.
| void w2kmeans::MotionAdvector< GridType >::setRateOfIncreaseFlag | ( | bool | inFlag | ) | [inline, inherited] |
| void w2kmeans::MotionAdvector< GridType >::setSplatting | ( | bool | ) | [inherited] |
turn on/off splatting during advection.
By default, splatting is off.
| void w2kmeans::MotionAdvector< GridType >::setSplatWeights | ( | const code::Image< float > & | wts | ) | [protected, inherited] |
the default splat-weights is a Cressman kernel of radius 3
| static void w2kmeans::MotionAdvector< GridType >::setValueIfBetter | ( | code::Image< float > * | result, | |
| int | x, | |||
| int | y, | |||
| double | value, | |||
| const code::Image< float > & | splatWeights, | |||
| bool | is_max_better | |||
| ) | [static, protected, inherited] |
| static void w2kmeans::MotionAdvector< GridType >::setValueIfBetter | ( | code::Image< float > * | result, | |
| int | x, | |||
| int | y, | |||
| double | value, | |||
| bool | is_max_better | |||
| ) | [static, protected, inherited] |
std::vector<CombinedProb> w2kmeans::ProbabilisticAdvector< GridType >::combined [protected] |
float w2kmeans::ProbabilisticAdvector< GridType >::dataThresh [protected] |
std::map<std::string, ProductParam> w2kmeans::ProbabilisticAdvector< GridType >::product_params [protected] |
1.4.7