PROPAGATING UPDATES BETWEEN LINKED DATASETS OF DIFFERENT SCALES

Jan‐Henrik Haunert · Monika Sester

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Geographic Information Systems Studies Historical Geography and Cartography 3D Modeling in Geospatial Applications

Abstract

This work shows an incremental approach for the propagation of updates from a topographic source dataset to a generalised dataset. It aims at the result that is equal to the complete generalisation of the source dataset. For this the information from links that express correspondences of features, the knowledge of the generalisation rules and the topology of the features are considered. The problem is discussed extensively for the case of the aggregation of areas, which is based on rules that take thematic and geometrical criteria into account. Results for the generalisation of an existing dataset are shown. For the incremental method it is considered, that the update of a single feature can have different impacts on the target dataset when following the rules. An algorithm is described which is based on the derivation of the influence area on which the update is restricted.

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2020The GAP-tree, an approach to ‘on-the-fly’ map generalization of an area partitioning 2003Automated aggregation of geographic objects. A new approach to the conceptual generalisation of geographic databases 2003Automated polygon generalization in a multi agent system 1999A Prototype System for Propagating Updates Between Cartographic Data Sets

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2013A Propagating Update Method of Multi-Represented Vector Map Data Based on Spatial Objective Similarity and Unified Geographic Entity Code 2009Generalisation log for managing and utilising a multi-representation spatial database in map production

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