Gallery

Here you will find all the examples related to museotoolbox library.

Artificial Intelligence

Examples related to the museotoolbox.ai module.

Sequential Forward Feature Selection (SFFS)

Learn with Random-Forest and compare Cross-Validation methods

Learn algorithm and customize your input raster without writing it on disk

Learn with Random-Forest and Random Sampling 50% (RS50)

Charts

Examples related to the museotoolbox.charts module.

Plot confusion matrix

Plot confusion matrix from Cross-Validation with F1

Plot confusion matrix with User/Producer accuracy

Cross-Validation

Examples related to the museotoolbox.cross_validation module.

Train test split with every kind of cross-validation

Stratified-K-Fold

Leave-One-SubGroup-Out (LOSGO)

Spatial Leave-One-Out (SLOO)

Spatial Leave-One-SubGroup-Out (SLOSGO)

Generate a cross-validation and/or save each fold to a vector file

Leave-P-SubGroup-Out (LPSGO)

Spatial Leave-Aside-Out (SLAO)

Leave One Out Per Class (LOOPC)

Processing

Examples related to the dedicated raster and vector museotoolbox.processing module.

Raster mask from vector

Read fields from vector

Extract raster values from vector file

Basics to use rasterMath

Copy raster values in vector fields then read vector

Modal class and number of agreements

rasterMath with custom block size, mask, and in 3 dimensions

rasterMath with several rasters as inputs

Using rasterMath with 3d block or 2d block

rasterMath with custom window/block size (and with 3 dimensions)

Stats

Examples related to the museotoolbox.stats module.

Compute quality index from confusion matrix

Compute quality index from confusion matrix

Compute Moran’s I with different lags from raster