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Autori principali: Wei, Zhiwei, Song, Chenxi, Wang, Tazhu, Wu, Fan, Liao, Hua, Ding, Su, Yang, Nai
Natura: Preprint
Pubblicazione: 2026
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Accesso online:https://arxiv.org/abs/2604.22539
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author Wei, Zhiwei
Song, Chenxi
Wang, Tazhu
Wu, Fan
Liao, Hua
Ding, Su
Yang, Nai
author_facet Wei, Zhiwei
Song, Chenxi
Wang, Tazhu
Wu, Fan
Liao, Hua
Ding, Su
Yang, Nai
contents Thematic maps play a central role in academic communication, yet their large-scale design evolution has rarely been examined empirically. This study presents a longitudinal and multilingual analysis of thematic map design practices in academic cartography from 1990 to 2020. We compile a corpus of 45,732 research articles from sixteen authoritative Chinese- and English-language journals and extract 23,928 maps using computer vision and large-model-based document parsing to build a structured dataset. Map design characteristics are quantified across three dimensions: map elements, color design, and layout structure. Results show that Chinese- and Englishlanguage academic maps share highly similar structural conventions, typically employing restrained color palettes with neutral dominant hues, low saturation, high brightness, and limited hue diversity, as well as centered layouts with high main-map occupation ratios. Differences exist in that English-language maps show slightly greater hue richness and compactness, whereas Chinese-language maps historically rely more on neutral hues and integrated layouts. Temporal analysis reveals parallel evolutionary trends in both groups, including increasing element richness, legend usage, and hue diversity, alongside stable layout structures. Overall, the findings suggest that academic map design evolution is characterized more by institutional convergence than cultural divergence.
format Preprint
id arxiv_https___arxiv_org_abs_2604_22539
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Evolving Thematic Map Design in Academic Cartography: A Thirty-Year Study Based on Multilingual Journals
Wei, Zhiwei
Song, Chenxi
Wang, Tazhu
Wu, Fan
Liao, Hua
Ding, Su
Yang, Nai
Computer Vision and Pattern Recognition
Digital Libraries
Thematic maps play a central role in academic communication, yet their large-scale design evolution has rarely been examined empirically. This study presents a longitudinal and multilingual analysis of thematic map design practices in academic cartography from 1990 to 2020. We compile a corpus of 45,732 research articles from sixteen authoritative Chinese- and English-language journals and extract 23,928 maps using computer vision and large-model-based document parsing to build a structured dataset. Map design characteristics are quantified across three dimensions: map elements, color design, and layout structure. Results show that Chinese- and Englishlanguage academic maps share highly similar structural conventions, typically employing restrained color palettes with neutral dominant hues, low saturation, high brightness, and limited hue diversity, as well as centered layouts with high main-map occupation ratios. Differences exist in that English-language maps show slightly greater hue richness and compactness, whereas Chinese-language maps historically rely more on neutral hues and integrated layouts. Temporal analysis reveals parallel evolutionary trends in both groups, including increasing element richness, legend usage, and hue diversity, alongside stable layout structures. Overall, the findings suggest that academic map design evolution is characterized more by institutional convergence than cultural divergence.
title Evolving Thematic Map Design in Academic Cartography: A Thirty-Year Study Based on Multilingual Journals
topic Computer Vision and Pattern Recognition
Digital Libraries
url https://arxiv.org/abs/2604.22539