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 "roads" rather than "PredictorOne").
Click the Enter button.
Name Schema for Line Length or Value within Buffer
Predictor variables extracted through this method will appear in the following name schema:
pB_[name entered by user]_[category name]_[buffer distance]_[aggregation method]
where:
- pA - set automatically: p indicates that this is a predictor variable, B indicates the type of predictor
variable. Click here to see a list of the possible types of predictor variables.
- [name entered by user] - set by user: the variable name entered by the user.
- [category name] - set automatically: the line feature class must contain a text field, which identifies a category for
each line. This text field will be selected under Set Input Data. This part of the name schema identifies the category that the predictor variable belongs to. If the feature class contains
only one category, a dummy text field should be created with all rows set to the same text string. This is the text string that would be shown in this part of the name.
- [buffer distance] - set automatically: the buffer distance used to extract this variable. Buffer distances will be entered
under Set Buffer Sizes.
- [aggregation method] - set automatically: the method used to aggregate the extracted data:
- sum = sum of line lengths
- wtv = length weighted value
- mtv = length * value
Examples:
pB_roadlenth_motorway_500_sum - This predictor variable was extracted using a line feature class of roads. The feature class contained a number of road categories and this predictor
contains the total length of motorway within a 500m buffer
pB_roadlengthtraffic_major_1000_mtv - This predictor variable was extracted using a line feature class of roads with traffic counts. The naming schema shows that this predictor variable contains
the length of major roads multiplied with the traffic count within a 1000m buffer.