Conceptual framework and practice of scene-based electronic map design

doi:10.11947/j. AGCS.2024.20240083.

Abstract

Abstract:

With the enrichment of spatial data elements and the refinement of scene difference granularity, homogeneous electronic map products seriously affect the effect of spatial data aided decision-making. This paper proposes a conceptual framework for scene-based electronic map design, clarifies the definition and classification rules of application scene, determines four categories: application theme, objective environment, target user and mapping content, and summarizes the inherent requirements of differentiated scenes for electronic maps. According to the above requirements, this paper proposes a scene-based electronic map design method, which completes the electronic map design through specific design means such as scene-suggested symbol system construction and semantic-driven symbol combination expression. List three demand cases, the method of this paper is verified from the whole process of scene extraction, data organization and electronic map product design. The cognitive experiment shows that the scene-based electronic map designed based on the method of this paper is effective in visual processing, visual search and cognitive burden, and the expected consistency of cognitive effect, which provides a theoretical basis and practical path for scene-based electronic map design.

Key words: electronic map design, map cognition, application scene, symbol

CLC Number:

P283

Mengjun KANG, Shuying CHEN, Min WENG, Shiliang SU, Qingyun DU, Shaoyi WANG. Conceptual framework and practice of scene-based electronic map design[J]. Acta Geodaetica et Cartographica Sinica, 2024, 53(11): 2064-2074.

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一级类别	二级类别	三级类别
应用主题	目的导向	政务目的、导航目的
	目的导向	城市名片、地区名片
	行业专题	旅游专题、教育专题
	行业专题	医疗专题、水利专题
	服务性质	商业主义、非生产性
客观环境	使用设备	PC端、移动端
	时间条件	实时性、非实时性
	空间范围	功能场所、地理区域
	自然环境	地形地貌、气候气象
	人文环境	经济社会、历史文化
目标用户	年龄	特定年龄、非特定年龄
	性别	男、女
	国家	国内、国外
	职业	制图或设计属性、非制图或设计属性
	识图能力	强、弱
制图内容	数据属性	空间数据、非空间数据
	统计性质	定性数据、定量数据
	几何类型	点要素、线面要素
	分布特点	连续分布、离散分布
	空间维度	二维、三维

场景特征	设计维度	维度描述
关系依赖	信息再生	信息内核的加工处理与突出显现
语义依赖	系统构图	符号系统的视觉层次设计
背景依赖	符号适应	融合文化背景的多通道符号
形式依赖	集成展示	数据整合与兼容显示

类型	参数	建议差值
多层结构（类间场景价值层级）	沿轴尺寸	px₂≥2px₁
	饱和度	ΔS≥40%
	亮度-饱和度	ΔS≥30%，ΔV≥5%
扩展结构（类内场景属性层级）	沿轴尺寸	px₂≥1.2px₁
	饱和度	ΔS≥20%
	亮度	11%≤ΔV≤55%
	色相-饱和度	8≤ΔH≤20（若H计算结果为负值x，则H=360+x），ΔS≥12%

场景需求	符素语义组合	图符转译手法	示例
地域名片	通用属性+文化象征	形态抽象+元素复刻	各城市地铁标识
专题统计	特征属性+社会结构	变量映射+组织提取	交通流量热力线

	类型	评估内容	眼动/测试指标
基础场景	视觉	信息认知负荷	注视点数量
	处理	信息解译复杂度	总注视时长、平均注视点持续时长
	认知	全局认知负担	平均瞳孔大小
	负担	局部认知负担	最大瞳孔大小
	认知	定位导航能力	位置描述正确率
	效果	视觉关注程度	AOI注意时长比例
		环境理解程度	正确场景地图选中率
专题场景	视觉	搜索效率	眼跳次数、任务搜索用时
	搜索	结构识别	正确形态结构选中率
	认知	专题解译	“最大专题密度位置”定位正确率
	效果	专题解译	“最大专题密度位置”定位正确率