数字制图与地图综合 -...
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Visualization and Geovisualization
课程负责人:景海涛 教授
测绘与国土信息工程学院
2016年11月14日
数字制图与地图综合
河南省研究生
优质课程
Beautiful Visualization 1
2
3 Geovisual Analytics
Geovisualization
1. Beautiful Visualization
Napoleon’s March to Moscow, Charles J. Minard, 1869
Florence Nightingale’s diagram showing the dramatic reduction in death
rates in the hospitals of Scutari following the changes she introduced
In 1854 John Snow plotted the position of each
Cholera case on a map.
See Data in context: Cholera outbreak
1. Beautiful Visualization
Why do we create visualizations?
• To expose
ideas/relationships
• To make an argument
• To observe trends
• Summarize/aggregate
data
• Archiving
• Trust
• Advertise ideas
• Exploratory data
analysis
• Answer questions
• Make decisions
• See data in context
• Expand memory
• Support graphical
calculation
• Find patterns
• Present argument
• Tell a story
• Inspire
Three functions of Visualizations
• Record information
– Photographs, blueprints, …
• Support reasoning about information (analyze)
– Process and calculate
– Reason about data
– Feedback and interaction
• Convey information to others (present)
– Share and persuade
– Collaborate and revise
– Emphasize important aspects of data
• 可视化技术(Visualization) 可以使人们在3维图
形世界中,直接对具有形体信息的信息进行操作
,并同计算机进行交流。实际上,它通过将科学
计算过程及计算结果所产生的枯燥的数据转换成
直观的图形和图像信息,来仿真人脑映像的构造
过程,帮助人们洞察数据所蕴含的关系和规律,
以支持用户的判断和理解。通过交互式的图形、
图像系统,人们就能便捷地获得关于数据的直观
、形象、深刻和全面的理解。
1. Beautiful Visualization
• 作为学科术语,“可视化”一词正式出现在1987年2月美国
国家科学基金会( National Science Foundation,NSF)召开
的一个专题研讨会上。
• Visualization in Scientific Computing -Scientific
Visualization
• Data visualization
• Information visualization
• Geovisualization-Geographic Visualization
• Text visualization
• Medical visualization
1. Beautiful Visualization
What Is Beauty?
What do we mean when we say a visual is beautiful?
Is it an aesthetic judgment, in the traditional sense
of the word? It can be, but when we’re discussing
visuals in this context, beauty can be considered to
have four key elements, of which aesthetic
judgment is only one. For a visual to qualify as
beautiful, it must be aesthetically pleasing, yes, but
it must also be novel, informative, and efficient.
1. Beautiful Visualization
Novel (新颖)—— a fresh look at the data or a
format that gives readers a spark of excitement and
results in a new level of understanding.
Informative (充实)——The key to the success of
any visual, beautiful or not, is providing access to
information so that the user may gain knowledge. A
visual that does not achieve this goal has failed.
1. Beautiful Visualization
Efficient (高效)——A beautiful visualization has a
clear goal, a message, or a particular perspective on
the information that it is designed to convey. Access to
this information should be as straightforward as
possible, without sacrificing any necessary, relevant
complexity.
Aesthetic(美感) —— The graphical construction—
consisting of axes and layout, shape, colors, lines, and
typography—is a necessary, but not solely sufficient,
ingredient in achieving beauty.
1. Beautiful Visualization
A basic example of Mendeleev’s periodic table of the elements
The London Underground (“tube”) map; 2007 London tube Map
A network visualization of someone’s Facebook friends
Wordle
Visualizing Wikipedia
河南省研究生
优质课程
Beautiful Visualization 1
2
3 Geovisual Analytics
Geovisualization
• Geovisualization A loosely bounded domain that addresses
the visual exploration, analysis, synthesis, presentation of
geospatial data by integrating approaches from various
disciplines including cartography with those from scientific
visualization, image analysis, information visualization,
exploratory data analysis, visual analytics, and GI Science.
——M. J. Kraak.
• 广义上来说,通过集成来自制图学、科学可视化、图像分
析、信息可视化、数据挖掘分析、可视化分析学及地理信
息科学等各个学科的方法,可视化地挖掘、分析、综合、
表达地理空间数据。
2. GeoVisualization
• Map A symbolized representation of a geographical reality,
representing selected features and characteristics, resulting
from the creative effort of its author’s execution of choices,
and is designed for use when spatial relationships are of
primary relevance.
• 地图:对真实地理环境的抽象表达,即用特定符号来表达选
定的功能和特性,这是源于作者创造性的选择;同时,设计
地图是为了用于表达重要的空间关系。
2. GeoVisualization
• The nature of geovisualization research is wide-ranging
and in the research agenda established by the international
cartographic community, particular areas have been
identified. These focus areas are closely interrelated and
should be seen in connection with each other.
Representation
Interaction Forms and Interface Design
Integration of Visualization and Geocomputation
Cognition and Usability issues
2. GeoVisualization
• Maps are used to visualize geospatial data, that is data that
refer to the location or the attributes of objects or
phenomena located on Earth. Maps help their users to
better understand geospatial relationships. From maps,
information on distances, directions and area sizes can be
retrieved.
• Since the 1980s, the environment in which maps are used
has changed considerably for most users.
• Digital Map , Electronic Map, Onscreen Map
• Web Map (interactive map)
—— Cartography: Visualization of Spatial Data
Menno-Jan Kraak Ferjan Ormeling
地图:通往地里空间数据之路
• Visualization can be used to explore, for instance in
order to play with unknown data.探索未知数据
• Visualization is applied in analysis, for instance in order
to manipulate known data.分析已有数据
• Maps are used to synthesize the results of the analysis.
地图常用于分析结果的综合。
• Visualization is applied to present or communicate the
new geospatial knowledge.可视化用语表达或传输新
的地理空间知识。
In a GIScience environment, visualization is applied in four
different situations.
Part 2: GeoVisualization
河南省研究生
优质课程
Beautiful Visualization 1
2
3 Geovisual Analytics
Geovisualization
From cartography, through geovisualization, to geovisual analytics:
Data→info→ knowledge → knowledge application
3.Geovisual Analytics
From cartography, through geovisualization, to geovisual analytics:
Data→info→ knowledge → knowledge application
3.Geovisual Analytics
From cartography, through geovisualization, to geovisual analytics:
Data→info→ knowledge → knowledge application
3.Geovisual Analytics
From cartography, through geovisualization, to geovisual analytics:
Data→info→ knowledge → knowledge application
3.Geovisual Analytics
• Visual analytics is the science of analytical reasoning
facilitated by interactive visual interfaces
• Geovisual analytics focuses on visual interfaces to
analytical methods that support reasoning with and
about geo-information-to enable insights about
something for which place matters
3.Geovisual Analytics
…thus, the focus is on assembing evidence,generating
inferences and explanation from
evidence,comparing/assessing those inferences and
explanations,and reporting results
• Scaling analysts to cope with geoinformation deluge
• Understanding and supporting analytical reasoning
processes
• Leveraging heterogeneous geoinformation
• Supporting teams and leveraging crowds
3.Geovisual Analytics: 4 challenges
Geovisual Analytics: scaling analysts
to cope with information deluge
Geovisual Analytics: supporting analytical reasoning
Geovisual Analytics: support for sensemaking in public
health and crisis mgt
• Situational Awareness:
• Social media& crisis management:
• System design
Summary : Insights thus far
• Can be effectively conceptualized as a process to which the
sensemaking model of visual analytics is applicable
• For crisis mgt, it is a process with place, time, concept components
• Social media have uses for both info push and info foraging
• For info foraging, practitioners want info on: incidents, times,
places, people, organizations
• Situational Awareness:
• Social media& crisis management:
• System design
Summary : Insights thus far
• Practitioners consider social media a potential SA source
• Practitioners were positive about a place-time-concept
organization for the interface
• Some practitioners negative about tag clouds
• Combination of spatial relational database and Lucene indexing
enables flexible query on 10s of millions of info fragments