From the dropdown menu select the line feature class from which you would like to extract data. The line feature class should have a spatial extent that is larger than the study area and the largest buffer distance combined. The line feature class must contain a text field, which identifies a category for each line. If the feature class contains only one category, a dummy text field should be created with all rows set to the same text string. If the Length weighted value or Length * Value aggregation method will be used, the line feature class must also contain a numeric field.
From the dropdown menu select the text field, which identifies the category of each line. If the feature class contains only one category, select a dummy text field in which all rows are set to the same text string.
Select the aggregation method to be used for this predictor variable.
From the dropdown menu select the numeric field to be used in the Length weighted value or Length * Value aggregation method. If this field contains missing data, then lines with missing values may be extracted in the intersect analysis. Please be aware that the Length weighted value and Length * Value aggregation methods will ignore rows with missing data and the calculated value will be based on the non-missing data only. After a field has been selected a green tick mark will appear.