Abstract

Abstract. Map generalization is not only affected by the factors such as map usage, scale, and feature distribution characteristics, but also affected by the level of understanding and skill of the mapper or computer. Under the same Constraint of indicator conditions, different mapper or computer use the same data but product different maps. Automatic map generalization is a kind of mapping technology with strong artificial intelligence, subjectivity and regionality. The necessary map comprehensive knowledge, experience of mapping and the correct comprehensive method of map are the key to the quality of the final map generalization product.This paper takes the automatic map generalization test of topographic data in a certain area as an example, starting from the quality requirements of 1:50 000 scale topographic data, discussing the selection, simplification, combination, smoothing, enhancement, displacement, exaggeration, aggregation of geographical features. It puts forward the models, contents, indicators and methods for quality assessment, and analyzes the typical quality problems after the generalization of features such as water system, habitation, road, landform, vegetation, soil and annotation. This paper also discusses the shortcomings and optimization measures of current automatic generalization in strategy, knowledge base and so on. The work of this paper can provide technical support for perfecting the theory and method of automatic map generalization, provide scheme reference for the real and reasonable assessment of topographic data automatic map generalization, and provide practical reference for multi-scale topographic map linkage update.

Highlights

  • Introduction of WJIIIThe WJ-III map workstation is an automatic generalization software for terrain data developed by the China Academy of Surveying and Mapping

  • The coordination of the relationship between the elements to achieve multi-level scale step by step or cross-scale automatic generalization, the degree of automation is as high as 95%

  • The correctness of the content of the generalization results is checked by manually superimposing the reference data

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Summary

Introduction

The WJ-III map workstation is an automatic generalization software for terrain data developed by the China Academy of Surveying and Mapping. The software creates a cross-platform symbol library and an automatic synthesis and automatic charting knowledge engine. Through the integrated knowledge base and the mapping knowledge base, it can automate the integration and mapping of point and line, surface and other artificial and natural features. The coordination of the relationship between the elements to achieve multi-level scale step by step or cross-scale automatic generalization, the degree of automation is as high as 95%

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