Specification of Map Generalization from Large Scale to Small Scale Based on Existing Data

Abstract

Nowadays, the up-to-date and consistent digital spatial information is highly expected by the users. The kind of mapping method development which offers the potential to meet the high expectations is automatic map generalization. In Indonesia map generalization was only implemented in medium and small scale, and has never been done from large scale. This research aims as a beginning in map generalization from large scale by looking at the condition of existing data at all three levels of scale. Therefore, the data selected must be available on large, medium, and small scale. In this study, Bogor is chosen because it had been mapped on a scale of 1:5,000; 1:25,000; and 1:250,000. These operations used are a) selection, b) classification, c) amalgamation, d) aggregation, and e) simplification. The feature studied in this research is building. From this research, we can determine generalization pattern from scale of 1:5,000 to scale of 1:25,000 and 1:250,000 for building feature, so it can be used as prototype design in building generalization from large scale to medium and small scale.