|Automated multi-level spatial database for GIS application
|Hong Kong Polytechnic University -- Dissertations
Spatial data infrastructures.
Cartography -- Data processing.
|Department of Computing
|viii, 68 leaves : ill. (some col.) ; 30 cm.
|Map generalization is a technique to enhance the presentation of map when the map scale is reducing. It is necessary because the map content of map will become closer and closer when the scale is reducing. To maintain the readability of map, some of the content has to be suppressed or modified. In the past, map generalization is performed by Cartographer who has to retrace and generalize the whole map. As the whole process is a manually performed, the production and the map generalization require a very long time. Apart from the efficiency, the quality of the map is not standardized as it involves too many human inputs. Indeed, even the most experienced Cartographer would have trouble to precisely replicate the results from one day to the next. This thesis devotes to address this problem. Automated map generalization prototypes will be proposed. Based on the user defined map scale, the proposed prototype generalizes a new map which is stored in a separated spatial database. As it is an automated process, the time required for generalizing a map would be greatly reduced. Moreover, automated generalization is carried out based on mathematic computation. The quality of the result should be homogeneous and consistent throughout the whole map. Both advantages cannot be achieved by manual approach.
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