Geographic Visualization Concepts, Tools and Applications
Buku ini diterbitkan tahun 2008 oleh JohnWiley & Sons Ltd, England adalah buku edisi Pertama.
Judul: Geographic Visualization Concepts, Tools and Applications
Oleh: Martin Dodge, et al (Editor)
Penerbit: JohnWiley & Sons Ltd, England
Tahun: 2008
Jumlah Halaman: 340 hal.
Editor:
Martin Dodge,
Mary McDerby
Dan
Martin Turner
The University of Manchester
Lingkup Pembahasan:
Pembahasan buku ini meliputi: 1) Kekuatan Visualisasi Geografis, 2) Apa Google Earth Berarti untuk Ilmu Sosial?, 3) terkoordinasi Beberapa Tampilan untuk Visualisasi eksplorasi, 4) Peran Peta Animasi untuk Visualisasi Geografis, 5) Menceritakan sebuah cerita lama dengan Maps Baru, 6) Re-mengunjungi Penggunaan pengganti Walks untuk menjelajahi Geografi Lokal Menggunakan Multimedia Non-immersive, 7) Visualisasi dengan resolusi tinggi Aerial Photography di-Perencanaan terkait Riset Properti, 8) Menuju resolusi tinggi Self-mengorganisir Maps Fitur Geografis, 9) Visual Kota, 10) kerja keras dalam Dimensi Ketiga: Sebuah Evaluasi Kritis Tiga dimensi Visualisasi Geografis, 11) Pengalaman Menggunakan Negara Seni Immersive Teknologi untuk Visualisasi Geografis, 12) Landscape Visualisasi: Sains dan Seni, 13) Visualisasi, Berbagi Data dan Metadata, 14) Membuat Ketidakpastian Usable: Pendekatan untuk Visualisasi Informasi Ketidakpastian, 15) Visualisasi dan Waktu - Peluang Baru untuk Space-Time Cube, dan 16) Visualisasi Data Berkumpul dengan Ponsel.
Daftar Isi:
Foreword xi
Acknowledgements xvii
Authors’ Biographies xix
1 The Power of Geographical Visualizations 1
Martin Dodge, Mary McDerby and Martin Turner
1.1 Aims 2
1.2 The nature of geographic visualization 2
1.3 The visualization process 4
1.4 Digital transition and geographic visualization 5
1.5 The politics of visualization 6
1.6 The utility of geographic visualization 8
1.7 Conclusions 8
References 9
2 What does Google Earth Mean for the Social Sciences? 11
Michael F. Goodchild
2.1 Introduction 11
2.2 Major features of Google Earth 12
2.3 Fundamental spatial concepts 15
2.4 The social perspective 18
2.5 Research challenges 20
2.6 Conclusions 22
References 23
3 Coordinated Multiple Views for Exploratory GeoVisualization 25
Jonathan C. Roberts
3.1 Introduction 25
3.2 Data preparation 28
3.3 Informative visualizations 31
3.4 Interaction and manipulation 34
3.5 Tools and toolkits 40
3.6 Conclusions 41
References 42
4 The Role of Map Animation for Geographic Visualization 49
Mark Harrower and Sara Fabrikant
4.1 Introduction 49
4.2 Types of time 52
4.3 The nature of animated maps 53
4.4 Potential pitfalls of map animation 56
4.5 Conclusions 61
References 62
5 Telling an Old Story with New Maps 67
Anna Barford and Danny Dorling
5.1 Introduction: re-visualizing our world 67
5.2 Method and content 68
5.3 The champagne glass of income distribution 105
References 107
6 Re-visiting the Use of Surrogate Walks for Exploring Local Geographies Using
Non-immersive Multimedia 109
William Cartwright
6.1 Introduction 109
6.2 Queenscliff Video Atlas 111
6.3 GeoExploratorium 113
6.4 Townsville GeoKnowledge Project 118
6.5 Jewell Area prototype 118
6.6 Melbourne Historical Buildings Demonstration Product 122
6.7 Testing the user’s perception of space and place 123
6.8 Further development work 137
6.9 Conclusion 138
Acknowledgements 138
References 139
7 Visualization with High-resolution Aerial Photography in Planning-related Property
Research 141
Scott Orford
7.1 Introduction 141
7.2 Applications of aerial photography in planning-related property research 148
7.3 Aerial photography, property and surveillance 152
7.4 Conclusion 155
References 156
8 Towards High-resolution Self-organizing Maps of Geographic Features 159
Andr´e Skupin and Aude Esperb´e
8.1 Introduction 159
8.2 Self-organizing maps 160
8.3 High-resolution SOM 162
8.4 High-resolution SOM for Climate Attributes 166
8.5 Summary and outlook 179
Acknowledgements 180
References 180
9 The Visual City 183
Andy Hudson-Smith
9.1 The development of digital space 183
9.2 Creating place and space 184
9.3 Visual cities and the visual Earth 188
9.4 The development of virtual social space 192
9.5 The future: the personal city 196
References 196
10 Travails in the Third Dimension: A Critical Evaluation of Three-dimensional
Geographical Visualization 199
Ifan D. H. Shepherd
10.1 Introduction 199
10.2 What is gained by going from 2D to 3D? 201
10.3 Some problems with 3D views 204
10.4 Conclusions 217
Acknowledgements 218
References 218
11 Experiences of Using State of the Art Immersive Technologies for Geographic
Visualization 223
Martin Turner and Mary McDerby
11.1 Introduction 223
11.2 The human visual system 224
11.3 Constructing large-scale visualization systems 232
11.4 Rules and recommendations 236
11.5 The future – a better and cheaper place 238
References 239
12 Landscape Visualization: Science and Art 241
Gary Priestnall and Derek Hampson
12.1 Landscape visualization: contexts of use 241
12.2 The need for ground truth 242
12.3 Outcomes from fieldwork exercises 244
12.4 Broadening the context 246
12.5 The Chat Moss case study 247
12.6 Discussion 254
12.7 Conclusion 256
Acknowledgements 257
References 257
13 Visualization, Data Sharing and Metadata 259
Humphrey Southall
13.1 Introduction 259
13.2 The data documentation initiative and the aggregate data extension 260
13.3 Implementing the DDI within the GB Historical GIS 262
13.4 Driving visualization in Vision of Britain 267
13.5 Conclusion 273
Acknowledgements 275
References 275
14 Making Uncertainty Usable: Approaches for Visualizing Uncertainty Information 277
Stephanie Deitrick and Robert Edsall
14.1 Introduction: the need for representations of uncertainty 277
14.2 The complexity of uncertainty 278
14.3 Uncertainty visualization: a user-centred research agenda 286
14.4 Conclusion 288
References 288
15 Geovisualization and Time — New Opportunities for the Space–Time Cube 293
Menno-Jan Kraak
15.1 Introduction 293
15.2 H¨agerstrand’s time geography and the space–time cube 295
15.3 Basics of the space–time cube 296
15.4 The space–time cube at work 297
15.5 Discussion 303
References 305
16 Visualizing Data Gathered by Mobile Phones 307
Michael A. E. Wright, Leif Oppermann and Mauricio Capra
16.1 Introduction 307
16.2 What are we visualizing? 308
16.3 How can we visualize this data? 309
16.4 Case studies 311
16.5 Discussion 314
16.6 Conclusion 316
References 316
Index 319
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