Information visualization is the communicationof abstract data through the use of interactive visual interfaces.
信息可視化是利用交互可視化接口與抽象數據進行交互
information visualization focuses on abstract,
nonp y hysical data such as text, hierarchies, and
statistical data.
信息可視化注重抽象的數據，例如文本，結構化數據 以及統計數據
visual representation of abstract data
– computer‐generated, often interactive
help human perform some task more effectively
信息可視化是抽象數據的可視表現，由電腦生成，通?？梢越换?，目的是幫助人們更有效率的完成某些任務
bridging many fi ld elds
– graphics: drawing in realtime
– cognitive psych: nding appropriate representation
– HCI: using task to guide design and evaluation
與其他領域的關聯
圖形學：在適當的時間繪制圖元
認知心理學，確定一個合適的表達
人機交互：通過任務來引導人們進行設計和評估
特點
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達的可視化描述
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.
信息可視化的關鍵挑戰是設計一種對那些本來不具有空間表示的數據集的具有認知性和使用性的空間映射，并且伴隨著空間映射，加入交互技術，允許人們可以直觀的探究該數據集，簡而言之就是把數據映射到平面（二維或者三維），使人們更方便的觀察數據
Constituents——成分
Two key aspects of infovis
– Representation
– Interaction (too often overlooked)
信息可視化的兩個方面：
- 表示
- 交互（經常被忽視 ）
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.
效率的實現信息可視化要實現這兩方面：能夠清晰準確的表達信息并且通過交互的方式計算出數據所表達的意義
Two key challenges
Scale
– Challenge often arises when data sets become large
Diversity
– Data of data types, forms, sizes
規?！敂祿孔兊谬嫶螅魬鹨蚕鄳脑黾?br> 差異性——數據有很多的格式，種類，大小
Example Domains for InfoVis——信息可視化的領域舉例
? Text
? Statistics
? Financial/business data
? Internet information
? Software
? …
可視化過程模型
