GENERALIZATION PROCESS FOR URBAN CITY-BLOCK MAPS

A generalization engine based on a raster-vector structure (BCNRV) is presented in this paper. The generalization engine includes a toolbox based on selection, generalization, map algebra and mathematical morphology toolset operators. Using this generalization engine we have developed a generalization process for urban city block maps. The generalization engine has a high level of versatility. Therefore, the processes and solutions presented here are only a few among the many possible. Here we explain the way we have adjusted this process (operators and parameters), to include expert knowledge by means of a feedback process in order to generalize urban city-block maps in a semiautomatic way.

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