Click on the Browse button to open the directory dialogue. Navigate to the File Geodatabase that contains your receptor points. This must be a folder with a '.gdb' extension. Click the Select Folder button. The file path to the File Geodatabase and a green tick mark will appear. The dropdown menu below will be populated with the names of all point feature classes in this File Geodatabase. Depending on the size of the File Geodatabase this may take a while.
From the dropdown menu, select the feature class that contains the receptor points. It is recommended to use a feature class that does not contain spatial duplicates, as the presence of spatial duplicates will slow down the performance of the tool.
A green tick mark will appear and the Next > button will be activated. This completes the Receptors from Feature Class step.
If the LUR models contain predictors that are derived from the Inverse distance, Inverse distance squared, Value * Inverse Distance, or Value * Inverse distance squared to the nearest feature, then any receptor points located on top of the nearest feature will result in a division by zero error, because the distance is zero. To prevent this, the wizard will check if the LUR model contains an Inverse distance, Inverse distance squared, Value * Inverse Distance, or Value * Inverse distance squared predictor. If this is the case, the wizard will remove any receptor points located on top of the relevant features. The warning message "Invalid receptor points. See log for details." will appear and the Apply_LOG will record which predictor variable resulted in the removal of receptor points. The Apply_LOG will also record the initial and final number of receptor points used.