| CVfunction | For the gap between the predicted value and expected value of the model, the model validates the function |
| DataProcess | Parallel computing initialization preparation(This function is not open to users!) |
| df.dem | Sampling test data of the dem |
| df.input | Sampling test data |
| df.mrrtf | Sampling test data of the mrrtf |
| df.plancur | Sampling test data of the plancur |
| df.procur | Sampling test data of the procur |
| df.twi | Sampling test data of the twi |
| GetPredictorSubset | calculation function for cutting spatial data (tool function,Not as an open function, only for function calls) |
| InsepectionVariable | A function that checks the parallel computation for missing data |
| MergingTiles | A function that combines the results of parallel cutting into a single file |
| NormalizeData | Standardize and normalize data elements |
| ParallelComputing | ParallelComputing Functions |
| ParallelInit | As a data ParallelIniting function, sets some global variables that are not visible to the user |
| ParallelInit_Test | Data initialization function is the first step to complete parallel training |
| smalltesttoy | Black box test function to test whether R package was installed successfully |