v1.0.0

✨ Available tools

Conversions

• CSV to geodataframe
• Raster to dataframe

Evaluation

• Calculate base metrics (true positive rate, false positive rate, proportion of area)
• Summarize label metrics (for binary classification)
• Summarize probability metrics (for binary classification)
• Plot ROC (receiver operating characteristic) curve
• Plot DET (detection error tradeoff) curve
• Plot precision-recall curve
• Plot calibration curve (reliability curve)
• Plot distribution of predicted probabilities
• Plot confusion matrix
• Plot neural network loss
• Plot neural network accuracy
• Plot prediction area curves
• Plot rate curve
• Score predictions (mae, mse, rmse, r2, accuracy, precision, recall, f1)

Exploratory analysis

• Basic plots (re-exports from Seaborn – barplot, boxplot, ecdfplot, heatmap, histplot, kdeplot, lineplot, pairplot, regplot, scatterplot)
• Chi-square test
• Correlation matrix & plot correlation matrix
• Covariance matrix
• DBSCAN (array & dataframe versions)
• Descriptive statistics (raster & geodataframe versions)
• Evaluate feature importance (for ML model)
• K-means clustering (array & dataframe versions)
• Local Moran's I
• Normality test (array & dataframe versions)
• Plot parallel coordinates
• Compute PCA & plot PCA

Prediction

• Fuzzy overlay (AND, OR, PRODUCT, SUM, GAMMA)
• Train gradient boosting classifier & regressor
• Train random forest classifier & regressor
• Train logistic regression model
• Train MLP classifier & regressor
• ML modeling utility tools: save model, load model, split data, reshape predictions, prepare data for ML, read data for evaluation
• Predict classifier & regressor

Raster processing

• Clip raster
• Create constant raster
• Distance to anomaly
• Extract values from raster
• Reclassify (manual breaks, defined intervals, equal intervals, quantiles, natural breaks, geometric intervals, standard deviation)
• Reproject
• Resample
• Snap
• Unify rasters
• Unique combinations
• Extract window
• Filters
  • Focal filter
  • Gaussian filter
  • Mexican hat filter
  • Lee additive noise filter
  • Lee multiplicative noise filter
  • Lee additive multiplicative noise filter
  • Lee enhanced filter
  • Gamma filter
  • Frost filter
  • Kuan filter
• Derivatives
  • First order surface derivatives
  • Second order surface derivatives
  • Classify aspect

Training data tools

• Balance classes (SMOTETomek)

Transformations

• Binarize
• Clip transform
• Min-max scale
• Z-score normalize
• Log transform (ln, log2, log10)
• One-hot encode
• Sigmoid transform
• Winsorize
• CODA transforms
  • ALR transform
  • Inverse ALR transform
  • CLR transform
  • Inverse CLR transform
  • Single ILR transform
  • Single pairwise logratio
  • Pairwise logratio
  • Single PLR transform
  • PLR transform

Vector processing

• Calculate geometry (length for line, area for polygon)
• Cell based association
• Distance computation
• Extract shared lines
• IDW interpolation
• Kriging interpolation
• Rasterize vector
• Reproject vector
• Vector density

Utilities

• Various utilities regrading rasters, vectors, nodata and more. Individual tools/functions not listed here

🌱 Work in progress

• Weights of evidence (calculate weights and calculate responses) – this tool is already included in EIS Toolkit but will undergo some changes in near future
• CNN classifier & regressor models
• Autoencoder for image segmentation
• Mini-Unet for image segmentation
• Data sampler
• Mahalanobis similarity
• Bayesian NN