Description Usage Arguments Details Value Author(s)
wrapper for IKARUS and AOA with buffered TrainPoints.
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FFS |
boolean - if True uses a FFS. Default= FALSE |
Tpoints |
SpatialPoints - PointLayer with the TrainingPositions |
buf_size |
numeric - with for the buffer in meter |
design |
character - from for the buffer. Choose from "ROUND","FLAT","SQUARE" |
Stk |
RasterStack - with predictors for classification |
Stk_name |
character - name of input Stack for the name to write in images and output name. |
plot_res |
boolean - set 'TRUE' to plot the prediction and AOA. Default = TRUE. |
save_png |
boolean - set 'TRUE' to write the images in.png format for prediction and AOA. Default = FALSE. |
save_res |
boolean - set 'TRUE' to write the prediction and AOA in .grd format. Default = FALSE. |
path_res |
character - the path to save the resulting RasterLayer. Required if "save_res" option is used. |
fsize |
numeric - the desired front size for the main and sub text. default = 24. |
rsp |
SpatialPolygons - Response Polygon for a class used for validation. |
rsp_class |
numeric - The position of the response class in the |
path_png_cl |
character - the path to save the resulting plots for classification as png. Required if "save_png" option is used. |
path_png_aoa |
character - the path to save the resulting plots for AOA png. Required if "save_png" option is used. |
This function is a wrapper for the IKARUS workflow for a LLOCV Random Forest classification and further uses the AOA approach by Meyer 2020. By default the resulting prediction and AOA are plotted. By default further uses all varibales for the model, optional uses a FFS (if FFS=TRUE). Optional saves the RasterLayers. Further can save the results to .png format to a desired path. Further the 'rsp' argument allow the direct estimation of the model performance by comparing one selected class with a response layer.
Returns the classification, model and the AOA. Optional saves the resulting RasterLayer and saves resuöting prediction and AOA to .png images.
Andreas Schönberg
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