Abstract

Metaphors are rhetorical devices in linguistics that facilitate the understanding of an unfamiliar concept based on a familiar concept. Map representations are usually referred to as the second language of geo-science studies, and the metaphor method could be applied to maps to visualize non-spatial data via spatial element symbols. This study performs a cross-domain application of the map representation method through a map-like visualization. The procedure first designs the map layout with the aid of the Gosper curve. Under the guidance of the Gosper curve, the leaf data items without spatial attributes are arranged on the space plane. Through the bottom-up regional integration, one can complete the construction of the map framework. Then, the cartographic method is used to complete map-like renderings that reflect different data features through diverse visualizations. The map representation advantages, such as overview sensing and multi-scale representation, are also reflected in the map-like visualization and used to identify the characteristics of non-spatial data. Additionally, the electronic map provides a series of interactive convenience features for map observation and analysis. Using the help of map-like visualizations, one can perform a series of analyses of non-spatial data in a new form. To verify the proposed method, the authors conducted map-making experiments and data analyses using real data.

Highlights

  • The physical space filled with geographic elements and phenomena is essential and familiar in human life, providing people with the basic context, and human beings interact with it in various forms

  • Based on the use of map-like visualizations for data expression, this study aims to try a variety of expression forms in map-like visualization to reflect different data characteristics, and to perform tasks that are difficult to carry out in a conventional manner through the combination of map features and techniques with data

  • This paper verified the feasibility of expressing the file data without geographical location through the map-like visualization

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Summary

Introduction

The physical space filled with geographic elements and phenomena is essential and familiar in human life, providing people with the basic context, and human beings interact with it in various forms. Spatialization is a method of visualizing data that uses a spatial metaphor to map the high dimension data of the information space to a lower dimension space that is easier to understand [3]. Map representations, which are frequently referred to as the second language of geo-science studies, can apply the metaphor method to visualize non-spatial data via spatial element symbols. People often use spatial objects as a metaphor for abstract concepts, such as the expression “Life is like a river”. Map-like visualizations represent a common form of expression in spatialization that uses map forms to express non-spatial data and can exploit the convenience of maps in cognition [5]. Map-like visualization provides a new perspective for observing and analyzing data and can greatly broaden the application range of maps by effectively transferring the methods and techniques of cartography

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