Predict regression layer

Uses a fitted regressor to predict a regression layer from a raster layer with features.

Usage:

1. Start the algorithm from the Processing Toolbox panel.

2. Select a raster and a trained regressor, then click run.

   

Parameters

Raster layer with features [raster]

A raster layer with bands used as features. Regressor features and raster bands are matched by name.

Regressor [file]

A fitted regressor.

Match features and bands by name [boolean]

Whether to match raster bands and regressor features by name.

Default: False

Outputs

Output regression layer [rasterDestination]

Raster file destination.

Command-line usage

>qgis_process help enmapbox:PredictRegressionLayer:

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Arguments
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raster: Raster layer with features
    Argument type:  raster
    Acceptable values:
            - Path to a raster layer
regressor: Regressor
    Argument type:  file
    Acceptable values:
            - Path to a file
matchByName: Match features and bands by name (optional)
    Default value:  false
    Argument type:  boolean
    Acceptable values:
            - 1 for true/yes
            - 0 for false/no
            - field:FIELD_NAME to use a data defined value taken from the FIELD_NAME field
            - expression:SOME EXPRESSION to use a data defined value calculated using a custom QGIS expression
outputRegression: Output regression layer
    Argument type:  rasterDestination
    Acceptable values:
            - Path for new raster layer

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Outputs
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outputRegression: <outputRaster>
    Output regression layer