![]() ![]() The higher the raster resolution, the longer the processing time. The cell sizes have a significant impact on processing time.The spatial resolution of the Explanatory Training Rasters parameter values is important in the following ways: To include distances to features as explanatory variables for presence-only data, distance rasters can be calculated using the Distance Accumulation tool, and the distance rasters can be included in the Explanatory Training Rasters parameter. The Explanatory Training Distance Features parameter is inactive when the Contains Background Points parameter is unchecked. If the input features containīackground points, the tool also requires at least two background The tool requires at least two presence points in the input pointįeatures to create a model. The Predict Using Spatial Statistics Model File tool can be used to predict to new features using the model file. The Output Trained Model File parameter can be used to save the trained model results as a reusable file. In the input point features, and distance features.Īn ArcGIS Spatial Analyst extension license is required to use rasters as inputs to or outputs from the tool. Checked-The tool will run with presence and background pointsĪnd allow explanatory variable sources to include rasters, fields.Unchecked-The tool will run with presence-only points and onlyĪccept explanatory variables from raster sources.The tool can be run in two modes that are specified by the Contains ![]() The tool accepts explanatory variables in the form of rasters,.Included with the input point features by checking the Contains Background These can be automatically created by the tool or manually Where presence of the phenomenon of interest may be possible but The study area is characterized by background points.īackground points are locations distributed across the study area.Presence locations of a phenomenon of interest. The Input Point Features parameter value is used to designate known.Presence is possible, and explanatory variables. Prediction model: known presence locations, a study area where The tool works with three primary inputs to create a presence ![]()
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