25.3. 本章小结

科学可视化致力于揭示物理世界的结构与动态，其数据天然具有空间属性（如CT体素、流体粒子）。 科学可视化强调三维空间的精准表达（如体绘制中的光线投射算法）和物理规律的视觉隐喻（如涡旋的流面提取）。

从数据角度看，需攻克多尺度（纳米至天文）、多物理场（温度-流速耦合）的高效融合；从任务看，需支撑科学家验证仿真模型、定位异常特征（如肿瘤边界）；从用户看，需平衡领域专有符号系统（如等值面）与交互直觉性。

科学可视化的类型与方法与数据特性紧密绑定。标量场依赖颜色映射与等高线绘制，矢量场通过流线与纹理揭示动态模式，张量场借助超流形与图元解析各向异性，表面与体数据则分别聚焦几何与体渲染。 如何选择合适的可视化工具需结合科学问题与数据规模，在未来，科学可视化的趋势或许将向着自动化、实时化与跨模态融合演进。

25.3.1. 习题

25.3.2. 参考文献

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