Regression Predict

Insert Model File

Select a regression model file (*.model) generated by the regression analysis tools, including linear regression, support vector machines, fast artificial neural network, or random forest, etc.

Insert Independent Variables

Inserted file should be in CSV or TIF format. CSV files must have attributes of X, Y, XSize, and YSize. Each attribute will be added into the list as a independent variable. Only one CSV file can be added; while several TIF files can be added. Each TIF will be added to the list as an independent variable with its file name. The number of independent variables must be the same as the number of independent variables in the model selected. (To learn more about each independent variable, please refer to Elevation Metrics, Intensity Metrics(IntensityMetrics.md), Canopy Cover, Leaf Area Index, and Gap Fraction)

Setting

• Plot Type: This parameter defines the type of plots. Users can choose that according to the survey in the field.
  • Square (default): Plots are in square shapes.
  • Circle: Plots are in circle shapes.
• Length (meters): When choosing square plots, users need to set the side length of the square.

• Radius (meters):When choosing circular plots, users need to set the radius of the circle.

• Output Path: Select the path for the output files. The software will generate two files, a regression prediction file named as "Regression Predict.TIF" file and a report file named as "Regression Predict.html".

Note: the number of inserted independent variable must be the same as the number of independent variables in the inserted model. Otherwise, it will lead to failure in prediction or large residuals.