用大模型生成符合语境的分区块地图配色方案，让普通人也能轻松设计专业地图。
MapColorAI: Designing Contextually Relevant Choropleth Map Color Schemes Using a Large Language Model
- 通过大模型理解用户意图和数据特征，分三步自动生成配色
- 支持'夏日感'等模糊需求，配色准确率高且可交互调整
- 适合非专业人士快速制作有主题感的地图，尤其适合教育与科普
分区块地图利用颜色方案可视化空间模式与趋势，是地理数据分析中简单而有效的工具。传统GIS工具如ArcGIS和QGIS提供的着色方法对非专业人士不够友好：一方面，预设颜色方案过多，难以选择最契合主题的；另一方面，难以满足用户模糊或个性化的着色需求，例如‘夏日风格’地图颜色。为此，我们开发了一种新系统，结合大语言模型与地图着色设计原则，生成上下文相关且用户对齐的分区块地图配色方案。系统采用三阶段流程：数据处理，提供数据概览并分类为有意义的类别；颜色概念设计，根据数据特征与用户意图构想颜色主题与模式；颜色方案设计，基于生成的主题、模式及用户要求为各类别分配具体颜色。系统配备交互式界面，支持地图着色的可视化操作，允许用户灵活定制与优化颜色选择。用户研究与评估表明，该系统具备良好可用性、准确性和灵活性，用户普遍认为其高效且易用。
原文摘要 · Abstract (English)
Choropleth maps, which utilize color schemes to visualize spatial patterns and trends, are simple yet effective tools for geographic data analysis. As such, color scheme design is a critical aspect of choropleth map creation. The traditional coloring methods offered by GIS tools such as ArcGIS and QGIS are not user-friendly for non-professionals. On the one hand, these tools provide numerous color schemes, making it hard to decide which one best matches the theme. On the other hand, it is difficult to fulfill some ambiguous and personalized coloring needs of users, such as requests for 'summer-like' map colors. To address these shortcomings, we develop a novel system that leverages a large language model and map color design principles to generate contextually relevant and user-aligned choropleth map color schemes. The system follows a three-stage process: Data processing, which provides an overview of the data and classifies the data into meaningful classes; Color Concept Design, where the color theme and color mode are conceptualized based on data characteristics and user intentions; and Color Scheme Design, where specific colors are assigned to classes based on generated color theme, color mode, and user requirements. Our system incorporates an interactive interface, providing necessary visualization for choropleth map color design and allowing users to customize and refine color choices flexibly. Through user studies and evaluations, the system demonstrates acceptable usability, accuracy, and flexibility, with users highlighting the tool's efficiency and ease of use.
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