Set Direction of Effect

Define Direction of Effect

Select whether the predictor variable is expected to have a positive or a negative direction of effect. The user has to make an a priori assumption for each predictor variable: a positive direction of effect is a predictor variable that will increase the value of the dependent variable, i.e. it is considered to be a source of the dependent variable and the beta coefficient is expected to be positive. A negative direction of effect is a predictor variable that will decrease the value of the dependent variable, i.e. it is considered to be a sink of the dependent variable and the beta coefficient is expected to be negative. These specifications will be used as model selection criteria in the statistical analysis; therefore, the user must consider carefully whether each predictor variable has a positive or a negative direction of effect. Incorrect specifications will lead to incorrect LUR models!

Click the Done button. A green tick mark will appear and the Next > button will be activated. This completes the Value of Raster cell step. The newly created predictor variables will be listed in the Predictors Added box on the next page.