可视化 | 初窥可视化之信息可视化

Information visualization is the communicationof abstract data through the use of interactive visual interfaces.

信息可视化是利用交互可视化接口与抽象数据进行交互

information visualization focuses on abstract,
nonp y hysical data such as text, hierarchies, and
statistical data.

信息可视化注重抽象的数据，例如文本，结构化数据 以及统计数据

visual representation of abstract data
– computer‐generated, often interactive
help human perform some task more effectively

信息可视化是抽象数据的可视表现，由电脑生成，通常可以交互，目的是帮助人们更有效率的完成某些任务

bridging many fi ld elds
– graphics: drawing in realtime
– cognitive psych: nding appropriate representation
– HCI: using task to guide design and evaluation

与其他领域的关联
图形学：在适当的时间绘制图元
认知心理学，确定一个合适的表达
人机交互：通过任务来引导人们进行设计和评估

特点

Giving information a visual representation that is useful
for analysis and presentation

提供有用的和可用于分析和表达的可视化描述

A key challenge in information visualization is designing
a cognitively useful spatial mapping of a dataset that is
not inherently spatial and accompanying the mapping
by interaction techniques that allow people to intuitively
explore the dataset.

信息可视化的关键挑战是设计一种对那些本来不具有空间表示的数据集的具有认知性和使用性的空间映射，并且伴随着空间映射，加入交互技术，允许人们可以直观的探究该数据集，简而言之就是把数据映射到平面（二维或者三维），使人们更方便的观察数据

Constituents——成分

Two key aspects of infovis
– Representation
– Interaction (too often overlooked)

信息可视化的两个方面：

• 表示
• 交互（经常被忽视 ）

The effectiveness of information visualization hinges on two
things: its ability to clearly and accurately represent in
formation and our ability to interact with it to figure out what
the information means.

效率的实现信息可视化要实现这两方面：能够清晰准确的表达信息并且通过交互的方式计算出数据所表达的意义

Two key challenges

Scale
– Challenge often arises when data sets become large
Diversity
– Data of data types, forms, sizes

规模——当数据量变得庞大，挑战也相应的增加
差异性——数据有很多的格式，种类，大小

Example Domains for InfoVis——信息可视化的领域举例

• Text
• Statistics
• Financial/business data
• Internet information
• Software
• …

可视化过程模型

可视化过程模型