Introduction to information visualization:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London
Springer
2009
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XIII, 139 S. Ill., graph. Darst., Kt. |
| ISBN: | 9781848002180 |
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| 245 | 1 | 0 | |a Introduction to information visualization |c Riccardo Mazza |
| 264 | 1 | |a London |b Springer |c 2009 | |
| 300 | |a XIII, 139 S. |b Ill., graph. Darst., Kt. | ||
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-016401052 | ||
Datensatz im Suchindex
| _version_ | 1804137499088388096 |
|---|---|
| adam_text | Contents
1
Introduction
to Visual Representations
........................... 1
1.1
Presentation
............................................... 4
1.2
Explorative Analysis
....................................... 5
1.3
Confirmative Analysis
...................................... 6
1.4
Information Visualization
.................................... 7
1.5
From Data to Wisdom
....................................... 8
1.6
Mental Models
............................................. 10
1.7
Scientific Visualization
...................................... 11
1.8
Criteria for Good Visual Representations
....................... 12
1.8.1
Graphical Excellence
................................. 13
1.8.2
Graphical Integrity
................................... 13
1.8.3
Maximize the Data-Ink Ratio
.......................... 14
1.8.4
Aesthetics
.......................................... 14
1.9
Conclusion
................................................ 15
2
Creating Visual Representations
................................ 17
2.1
A Reference Model
........................................ 17
2.1.1
Preprocessing and Data Transformations
................. 18
2.1.2
Visual Mapping
..................................... 20
2.1.3
Views
.............................................. 23
2.2
Designing a Visual Application
.............................. 24
2.3
Visual Representation of Linear Data
......................... 26
2.4
2D vs.
3D................................................. 30
2.5
Conclusion
................................................ 31
3
Perception
..................................................... 33
3.1
Memory
.................................................. 33
3.2
Preattentive Properties
...................................... 35
3.2.1
Color
.............................................. 35
3.2.2
Form
.............................................. 35
3.2.3
Spatial Position
...................................... 35
Contents
xii
IQ
3.2.4
Movement..........................................
3.3
Mapping Data to
Preattentive Attributes........................ 3°
3.4
Postattentive
Processing..................................... Jj
3.5 Gestalt
Principles
...........................................
γ
3.5.1
Figure and Ground
...................................
3.5.2
Proximity
...........................................
42
3.5.3
Similarity
........................................... 42
3.5.4
Closure
.................................·..........
43
3.5.5
Continuity
..........................................
3.5.6
Other Principles
.....................................
^4
3.6
Conclusion
................................................
4
Multivariate Analysis
..........................................
4.1
The Problem of Multivariate Visualization
......................
46
4.2
Geometric Techniques
......................................
4.2.1
Parallel Coordinates
..................................
47
4.2.2
Scatterplot Matrix
....................................
50
4.2.3
TableLens
..........................................
52
4.2.4
Parallel Sets
.........................................
52
4.3
Icon Techniques
............................................
4.3.1
Star Plots
...........................................
55
4.3.2
ChernoffFaces
......................................
57
4.4
Pixel-Oriented Techniques
...................................
5^
4.5
Conclusion
................................................ 62
5
Networks and Hierarchies
......................................
5.1
NetworkData
..............................................
64
5.1.1
Concept Maps and Mind Maps
.........................
5.1.2
Complex Network Data
...............................
66
5.1.3
Geographic Representations
...........................
5.1.4
Transport Networks
.................................. ^3
5.1.5 3D
Graphs
..........................................
74
5.2
Hierarchical Data
.......................................... ^5
5.2.1
File System
.........................................
77
5.2.2
Representing Evolutionary Data with Trees
.............. 79
5.2.3
Cone Tree
.......................................... 81
5.2.4
Botanical Tree
.......................................
81
5.2.5
Treemap
............................................ 83
5.3
Conclusion
................................................ 88
6
World Wide Web
.............................................. 91
6.1
Website Maps
.............................................
91
6.2
Website Log Data
..........................................
93
6.3
Visual Representation of Search Engine Results
............
98
6.3.1
Clustering
..........................................100
Contents xiii
6.4
Analysis of Interactions in Blogs
..............................102
6.5
Conclusion
................................................103
7
Interactions
...................................................105
7.1
The Problem
ofinformation
Overload
.........................105
7.2
Types of Interactive Visual Representations
.....................106
7.3
Manipulable Representations
.................................107
7.3.1
Scrolling
...........................................107
7.3.2
Overview
+
Details
..................................107
7.3.3
Focus
+
Context
.....................................110
7.4
Transformable Representations
...............................116
7.4.1
Filtering InputData
..................................116
7.4.2
Data Reordering
.....................................117
7.4.3
Dynamic Queries
....................................117
7.4.4
Magic Lens
.........................................119
7.4.5
Attribute Explorer
...................................121
7.5
Conclusion
................................................122
8
Evaluations
...................................................125
8.1
Human-Computer Interaction
................................125
8.2
Evaluation Criteria
.........................................126
8.3
Evaluating Visual Representations
............................127
8.3.1
Analytic Methods
....................................128
8.3.2
Empirical Methods
...................................129
8.4
Conclusion
................................................132
References
.........................................................133
Index
.............................................................137
|
| adam_txt |
Contents
1
Introduction
to Visual Representations
. 1
1.1
Presentation
. 4
1.2
Explorative Analysis
. 5
1.3
Confirmative Analysis
. 6
1.4
Information Visualization
. 7
1.5
From Data to Wisdom
. 8
1.6
Mental Models
. 10
1.7
Scientific Visualization
. 11
1.8
Criteria for Good Visual Representations
. 12
1.8.1
Graphical Excellence
. 13
1.8.2
Graphical Integrity
. 13
1.8.3
Maximize the Data-Ink Ratio
. 14
1.8.4
Aesthetics
. 14
1.9
Conclusion
. 15
2
Creating Visual Representations
. 17
2.1
A Reference Model
. 17
2.1.1
Preprocessing and Data Transformations
. 18
2.1.2
Visual Mapping
. 20
2.1.3
Views
. 23
2.2
Designing a Visual Application
. 24
2.3
Visual Representation of Linear Data
. 26
2.4
2D vs.
3D. 30
2.5
Conclusion
. 31
3
Perception
. 33
3.1
Memory
. 33
3.2
Preattentive Properties
. 35
3.2.1
Color
. 35
3.2.2
Form
. 35
3.2.3
Spatial Position
. 35
Contents
xii
IQ
3.2.4
Movement.
3.3
Mapping Data to
Preattentive Attributes. 3°
3.4
Postattentive
Processing. Jj
3.5 Gestalt
Principles
.
'γ
3.5.1
Figure and Ground
.
3.5.2
Proximity
.
42
3.5.3
Similarity
. 42
3.5.4
Closure
.·.
43
3.5.5
Continuity
.
3.5.6
Other Principles
.
^4
3.6
Conclusion
.
4
Multivariate Analysis
.
4.1
The Problem of Multivariate Visualization
.
46
4.2
Geometric Techniques
.
4.2.1
Parallel Coordinates
.
47
4.2.2
Scatterplot Matrix
.
50
4.2.3
TableLens
.
52
4.2.4
Parallel Sets
.
52
4.3
Icon Techniques
.
4.3.1
Star Plots
.
55
4.3.2
ChernoffFaces
.
57
4.4
Pixel-Oriented Techniques
.
5^
4.5
Conclusion
. 62
5
Networks and Hierarchies
. "
5.1
NetworkData
.
64
5.1.1
Concept Maps and Mind Maps
. "
5.1.2
Complex Network Data
.
66
5.1.3
Geographic Representations
. '
5.1.4
Transport Networks
. ^3
5.1.5 3D
Graphs
.
74
5.2
Hierarchical Data
. ^5
5.2.1
File System
.
77
5.2.2
Representing Evolutionary Data with Trees
. 79
5.2.3
Cone Tree
. 81
5.2.4
Botanical Tree
.
81
5.2.5
Treemap
. 83
5.3
Conclusion
. 88
6
World Wide Web
. 91
6.1
Website Maps
.
91
6.2
Website Log Data
.
93
6.3
Visual Representation of Search Engine Results
.
98
6.3.1
Clustering
.100
Contents xiii
6.4
Analysis of Interactions in Blogs
.102
6.5
Conclusion
.103
7
Interactions
.105
7.1
The Problem
ofinformation
Overload
.105
7.2
Types of Interactive Visual Representations
.106
7.3
Manipulable Representations
.107
7.3.1
Scrolling
.107
7.3.2
Overview
+
Details
.107
7.3.3
Focus
+
Context
.110
7.4
Transformable Representations
.116
7.4.1
Filtering InputData
.116
7.4.2
Data Reordering
.117
7.4.3
Dynamic Queries
.117
7.4.4
Magic Lens
.119
7.4.5
Attribute Explorer
.121
7.5
Conclusion
.122
8
Evaluations
.125
8.1
Human-Computer Interaction
.125
8.2
Evaluation Criteria
.126
8.3
Evaluating Visual Representations
.127
8.3.1
Analytic Methods
.128
8.3.2
Empirical Methods
.129
8.4
Conclusion
.132
References
.133
Index
.137 |
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| illustrated | Illustrated |
| index_date | 2024-07-02T20:13:39Z |
| indexdate | 2024-07-09T21:13:16Z |
| institution | BVB |
| isbn | 9781848002180 |
| language | English |
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| spelling | Mazza, Riccardo Verfasser aut Introduction to information visualization Riccardo Mazza London Springer 2009 XIII, 139 S. Ill., graph. Darst., Kt. txt rdacontent n rdamedia nc rdacarrier Information visualization Visualisierung (DE-588)4188417-6 gnd rswk-swf Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd rswk-swf Information (DE-588)4026899-8 gnd rswk-swf Grafische Darstellung (DE-588)4129552-3 gnd rswk-swf Visualisierung (DE-588)4188417-6 s Grafische Darstellung (DE-588)4129552-3 s Information (DE-588)4026899-8 s Mensch-Maschine-Kommunikation (DE-588)4125909-9 s DE-604 Erscheint auch als Online-Ausgabe 978-1-84800-219-7 Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016401052&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Mazza, Riccardo Introduction to information visualization Information visualization Visualisierung (DE-588)4188417-6 gnd Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd Information (DE-588)4026899-8 gnd Grafische Darstellung (DE-588)4129552-3 gnd |
| subject_GND | (DE-588)4188417-6 (DE-588)4125909-9 (DE-588)4026899-8 (DE-588)4129552-3 |
| title | Introduction to information visualization |
| title_auth | Introduction to information visualization |
| title_exact_search | Introduction to information visualization |
| title_exact_search_txtP | Introduction to information visualization |
| title_full | Introduction to information visualization Riccardo Mazza |
| title_fullStr | Introduction to information visualization Riccardo Mazza |
| title_full_unstemmed | Introduction to information visualization Riccardo Mazza |
| title_short | Introduction to information visualization |
| title_sort | introduction to information visualization |
| topic | Information visualization Visualisierung (DE-588)4188417-6 gnd Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd Information (DE-588)4026899-8 gnd Grafische Darstellung (DE-588)4129552-3 gnd |
| topic_facet | Information visualization Visualisierung Mensch-Maschine-Kommunikation Information Grafische Darstellung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016401052&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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