Spatial data are frequently generalized in geographical information processing. At SC-DLO this is particularly the case in generating input data for simulation models. Until now the generalization process has been mainly manual, which is time-consuming and subjective. Practical automated methods of generalizing area objects were investigated. Three methods were compared: the first method is based on the geometry of objects, the second on the attributes of objects, and the third uses a combination of geometry and attributes. The last two methods incorporate procedures for applying specific generalization. To evaluate the effects of the different methods various effect measures were defined.
There are no comments yet. You can post the first one!
Post a comment
Please log in to use this service. Login as Wageningen University & Research user or guest user in upper right hand corner of this page.