Paralleling generalization operations to support smooth zooming: case study of merging area objects

Conference paper (2020)

Authors

D.L. Peng GIS Technologie - Architecture and the Built Environment
B.M. Meijers GIS Technologie - Architecture and the Built Environment
P.J.M. van Oosterom GIS Technologie - Architecture and the Built Environment
Research Group
GIS Technologie (Architecture and the Built Environment) (TU Delft)
Copyright: © 2020 D.L. Peng, B.M. Meijers, P.J.M. van Oosterom
Continuous map generalization Space-scale cube Vario-scale map
More Info
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Published Date

2020

Language

English

Reuse Rights

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Faculty

Architecture and the Built Environment

Department

Architectural Engineering +Technology

Research Group

GIS Technologie

Abstract

When users zoom out on a digital map, some area objects become too tiny to be seen, resulting in visual clutters. To avoid this problem, the relatively unimportant areas should be merged with their neighbors to form larger
areas. In order to provide small and smooth changes so that users can easily keep their contexts, we merge a pair of areas by expanding one over the other and parallel the merging operations. We also require that the area objects involved in paralleled merging operations should not have any common neighbor so that the topology of the map can be easily maintained. The zooming of our map is realized based on the topological area partitioning tree (GAP-tree) and the spacescale cube (SSC). Our case study shows that our method improves the zooming visualization. We consider that paralleling generalization operations is an important step towards continuous map generalization.