Type in a name for the predictor variable to be created. This must be a unique name, i.e. the same name cannot be assigned to two or more different predictor variables. The name must have a length of at least 1 character and can have a maximum length of 20 characters (ISO basic Latin alphabet). The name cannot contain numbers, spaces or special characters. It is recommended to use a name that will help users to identify the input dataset that the predictor was derived from (e.g. use "RoadsDistance" rather than "PredictorOne"). Click the Enter button.
Predictor variables extracted through this method will appear in the following name schema:
pE_[name entered by user]_[name of value field or none]_[distance method]
where:
Distance method | Code |
---|---|
Distance | dist |
Inverse distance | invd |
Inverse distance squared | invsq |
Value | val |
Value * Distance | valdist |
Value * Inverse distance | valinvd |
Value * Inverse distance squared | valinvsq |
Examples:
pE_roads_none_invd - This predictor variable was extracted using a line feature class of roads. The naming schema shows that this predictor variable contains the inverse distance to the nearest road line.
pE_motorwaytraffic_hgv_valinvsq - This predictor variable was extracted using a line feature class of motorways. Each line has an associated count value for heavy goods vehicles (hgv) and the naming schema shows that this predictor variable contains the inverse squared distance to the nearest motorway multiplied by the number of heavy goods vehicles on that motorway.