An improved method for generalisation of point features with consideration of reinforcing relationships

ABSTRACT

Point feature selection aims at preserving global patterns of point cluster during map scaling. This is an important technique for clear presentation of points in multi-scale maps. However, existing methods tend to include single point features ignoring the spatial interactions between two types of points. For example, based on the Input Sharing mechanism in agglomeration economics, different types of facilities are usually co-located together to reinforce their functions in business competition. In this respect, generalization of a point feature should consider not only its own importance but also the reinforcing effects from other features. In this paper, an improved method is proposed by including the spatial contextual information. Experiments suggest that our method can preserve service patterns after generalization.

KEYWORDS:

• Cartography
• map generalisation
• spatial database
• Voronoi diagram
• points-of-interest

Disclosure statement

No potential conflict of interest was reported by the authors.

Supplementary material

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Additional information

Funding

This work was supported by the National Natural Science Foundation of China [41701440, 41531180, 41871305];Natural Science Foundation of Hubei Province [2018CFB513];Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) [CUG170640]; National Key Research and Development Program of China [2017YFB0503500]; Opening Fund of Key Laboratory of Geological Survey and Evaluation of Ministry of Education [GLAB2019ZR02]; a grant from State Key Laboratory of Resources and Environmental Information System.