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Niko Aarnio edited this page Apr 8, 2025
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Status symbols:
- 🟩 = Completed
- 🟦 = In process / in review
- 🟥 = Not yet started
For a more detailed set of included tools / functions and their documentation, check the documentation site.
| Tool | Status |
|---|---|
| Reproject raster | 🟩 |
| Resample raster | 🟩 |
| Clip raster | 🟩 |
| Snap raster | 🟩 |
| Window raster | 🟩 |
| Unify rasters | 🟩 |
| Surface derivative tools | 🟩 |
| Extract values from raster | 🟩 |
| Reclassify | 🟩 |
| Create constant raster | 🟩 |
| Unique conditions grid | 🟩 |
| Smoothing/filter tools | 🟩 |
| Distance to anomaly | 🟩 |
| Proximity to anomaly | 🟩 |
| Tool | Status |
|---|---|
| Reproject vector | 🟩 |
| Interpolation - IDW | 🟩 |
| Interpolation - kriging | 🟩 |
| Density computation | 🟩 |
| Distance computation | 🟩 |
| Calculate geometry | 🟩 |
| Extract shared lines | 🟩 |
| Cell-based association | 🟩 |
| Rasterize | 🟩 |
| Proximity computation | 🟩 |
| Tool | Status |
|---|---|
| PCA | 🟩 |
| K-means clustering | 🟩 |
| DBSCAN | 🟩 |
| Descriptive statistics | 🟩 |
| Statistical hypothesis tests | 🟩 |
| Basic plots (scatter, line, bar, hist, kde, ecdf, heatmap, pairplot, regrplot) | 🟩 |
| Parallel coordinates plot | 🟩 |
| Feature importance | 🟩 |
| Local Moran's I | 🟩 |
| Tool | Status |
|---|---|
| Binarize | 🟩 |
| Winsorize | 🟩 |
| Logarithmic | 🟩 |
| Min-max | 🟩 |
| Z-score normalize | 🟩 |
| Clip transform | 🟩 |
| One-hot encode | 🟩 |
| CoDa transformations | 🟩 |
| Tool | Status |
|---|---|
| Balance data (SMOTETomek) | 🟩 |
| Split data | 🟩 |
| Raster to points | 🟩 |
| Generate negatives | 🟩 |
| Data sampler | 🟦 |
| Tool | Status |
|---|---|
| Fuzzy overlay | 🟩 |
| Weights of evidence | 🟩 |
| Logistic regression | 🟩 |
| Random forest (regr+cls) | 🟩 |
| Gradient boosting (regr+csl) | 🟩 |
| MLP (multilayer perceptron, regr+cls) | 🟩 |
| BNN | 🟦 |
| Tool | Status |
|---|---|
| Calculate base metrics | 🟩 |
| Summarize label metrics for binary classifier | 🟩 |
| Summarize probability metrics for binary classifier | 🟩 |
| Plot ROC curve | 🟩 |
| Plot DET curve | 🟩 |
| Plot precision-recall curve | 🟩 |
| Plot calibration curve | 🟩 |
| Plot distribution of predicted probabilities | 🟩 |
| Plot confusion matrix | 🟩 |
| Plot neural network training accuracy | 🟩 |
| Plot neural network training loss | 🟩 |
| Plot prediction area curves | 🟩 |
| Plot rate curve | 🟩 |
| Score model (accuracy, precision, recall, F1, MAE, MSE, RMSE, R2) | 🟩 |