MapColorAI Assessment Questionnaire.docx

Choropleth maps are fundamental tools for geographic data analysis, primarily relying on color to convey information. Consequently, the design of their color schemes is of paramount importance in choropleth map production. The traditional coloring methods offered by GIS tools such as ArcGIS and QGIS are not user-friendly for non-professionals. These tools provide numerous color schemes, making selection difficult, and cannot also easily fulfill personalized coloring needs, 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 and classification of the data; Color Concept Design, where color theme and mode are conceptualized based on data characteristics and user intentions; and Color Scheme Design, where specific colors are assigned to classes. Our system incorporates an interactive interface for choropleth map color design and allows users to customize color choices flexibly. Through user studies and evaluations, the system demonstrates acceptable usability, accuracy, and flexibility, with users highlighting its efficiency and ease of use.

分级统计图（Choropleth Map）是地理数据分析的核心工具之一，主要通过色彩传递空间信息。因此，色彩方案的设计在分级统计图的制作流程中占据关键地位。
诸如ArcGIS、QGIS等地理信息系统（GIS）工具自带的传统配色方案，对非专业用户并不友好：这类工具虽提供了丰富的色彩选择，但用户往往难以快速筛选适配方案，且无法便捷满足个性化配色需求——例如“夏日氛围感”地图配色的诉求。
为解决上述痛点，我们研发了一套新颖的配色系统，该系统依托大语言模型（Large Language Model，LLM）与地图配色设计准则，生成贴合应用场景且契合用户需求的分级统计图色彩方案。
该系统采用三阶段工作流程：其一为数据处理阶段，完成数据的概览与分类；其二为色彩概念设计阶段，基于数据特征与用户意图确定色彩主题与模式；其三为色彩方案设计阶段，为各数据类别分配具体色彩。
本系统集成了面向分级统计图配色设计的交互式界面，支持用户灵活自定义色彩选择。经用户研究与系统性评估验证，该系统展现出良好的可用性、准确性与灵活性，用户普遍认可其高效性与易用性。

搜集汇总

背景与挑战

背景概述

该数据集是关于地图颜色设计的评估问卷，旨在通过大型语言模型和设计原则生成符合用户需求的地图颜色方案。数据集得到了中国国家自然科学基金的支持，属于地理科学数据可视化类别。