Man pages for environmentalinformatics-marburg/Rainfall
Functions for training, predictiion and validation of an MSG based optical rainfall retrieval
| aggRaster | Temporal aggregation of raster data |
| borgIndices | Calculate shape indices listed in Borg 1998 |
| calcScalingStats | Returns mean and sd values of the predictors which can be... |
| calculatePredictors | Calculate predictors from MSG cloud masked data |
| cr2ll | Get geocoordinates from MSG column and rows |
| createSubset | Create a training subset from data |
| ffs4rainfall | Performs forward feature selection |
| filterStats | Calculate statistics of spatial filters of MSG bands |
| fourStats | nnet with cutoff as additional tuning parameter |
| generateFileName | Generate msg file names |
| geometryVariables | Calculate selected geometry variables for clouds |
| getChannels | Get channels from a msg scene's inputpath |
| getDate | Get the date from a msg scene's inputpath |
| getDaytime | Classify a scene into day, twilight, night according to its... |
| getSunzenith | Get sunzenith raster from a msg scene's inputpath |
| glcmPerPatch | Calculate selected Texture parameters for overall cloud... |
| ll2cr | Get MSG pixel coordinates (column/rows) from geocordiantes |
| msgstatmatch | Match temporally aggregated (1h) MSG data with station data |
| plotPredCorr | Plot correlation of predictors |
| ppStat | Calculate zonal statistics for cloud patches |
| predictRainfall | Predicts the rainfall rate based on a trained model and MSG... |
| projectMSG | Quick&Dirty Method to project MSG data |
| rainfall-package | Functions for training and prediction of an MSG based... |
| randomScenes | Randomly Select a percentage of scenes |
| rfe4rainfall | Performs recursive feature selction |
| scaleByValue | Scales Predictors using mean and sd from lookup table |
| spectralDerivate | Calculation of derivated spectral channels |
| tempAggregate | Aggregates MSG images and sunzenith to one hour (mean... |
| textureVariables | Calculate selected Texture parameters from clouds based on... |
| train4rainfall | Performs model training |
| validate | Validation of model results |
| varFromRfe | Extract variables from rfe model |
| writeToFile | Writes a stack of MSG channels to a new file with respect to... |
