Knowledge‐Guided Automated Cartographic Generalization Process Construction: A Case Study Based on Map Analysis of Public Maps of China

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Xiaorong Gao, Haowen Yan, Zhongkui Chen, Panfei Yin
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引用次数: 0

Abstract

The efficacy of conveying information through maps heavily depends on the quality of map generalization. However, automating map generalization poses a complex decision‐making challenge, requiring a profound understanding of the process—specifically, knowledge about the generalization procedure. Currently, there is a scarcity of research on the sequence of generalization operations, particularly for cartographic generalization involving symbolization and labeling. On the contrary, customary maps generated in practical applications consistently adhere to the specified generalization and symbolization protocol, which makes it feasible and credible to construct this overall process based on expert knowledge. To reconcile this incongruity, this paper presents a knowledge‐guided automated cartographic generalization process construction. Firstly, an exhaustive examination of the sequential procedures involved in manual generalization and a well‐applied automated generalization system are delineated, drawing upon map analysis methodologies, observations, and expert interviews. Then, elaborate guidelines governing each phase within this process, particularly concerning the symbolization and labeling of map features, are explored. Ultimately, details of the expert interview are described and a map generalized by the well‐applied system is analyzed. The results show that the automated generalization system follows the knowledge‐guided process in this paper can significantly improve production efficiency in practice, this study serves as a connection between cartographers and developers and may help achieve a higher level of automated cartographic generalization.
知识引导下的自动制图概括过程构建:基于中国公共地图分析的案例研究
通过地图传递信息的效果在很大程度上取决于地图概括的质量。然而,地图自动概括是一项复杂的决策挑战,需要对这一过程有深刻的理解,特别是对概括程序的了解。目前,有关概括操作顺序的研究还很少,尤其是涉及符号化和标注的制图概括。相反,在实际应用中生成的习惯地图始终遵循指定的概括和符号化规程,这使得基于专家知识构建这一整体流程变得可行和可信。为了解决这一矛盾,本文提出了一种知识指导下的自动制图概括流程构建方法。首先,本文借鉴地图分析方法、观察结果和专家访谈,详尽研究了人工概括和应用良好的自动概括系统所涉及的顺序步骤。然后,详细探讨了这一过程中每个阶段的指导原则,特别是关于地图特征的符号化和标记。最后,对专家访谈的细节进行了描述,并对应用良好的系统所概括的地图进行了分析。结果表明,遵循本文知识指导流程的自动概括系统在实践中能显著提高生产效率,这项研究是制图师和开发人员之间的纽带,有助于实现更高水平的自动制图概括。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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