Handling and Mapping Geographic Information

Auteur

Claire Cunty is a lecturer and researcher in geography at the Université Lumière Lyon 2, France, and a member of the Environnement Ville Société research unit. Her research focuses on the design and use of geovisualization interfaces for spatiotemporal information and on digital approaches to sensitive maps. She is also part of the supervisory team for the Master's program in Digital Geographies at Lyon 2 and SaintEtienne Universities.

Hélène Mathian is a CNRS engineer in spatial analysis methods at the Environnement Ville Société research unit, France. Her work integrates the spatial dimension into statistical processing and models, and uses geovisualization as a means of exploring geographic data and spatial dynamics. She is also part of the supervisory team for the Master's program in Digital Geographies at Lyon 2 and Saint-Etienne Universities.

Texte du rabat

With the increasing proliferation of data and the systematization of geographic information referencing, maps are now a major concern - not only for specialists, but also for urban planning and development organizations and the general public. However, while producing a map may seem straightforward, the actual process of transforming data into a useful map with a specific purpose is characterized by a series of precise operations that require knowledge in a variety of fields: statistics, geography, cartography and so on. Handling and Mapping Geographic Information presents a wide range of operations based on a variety of examples. Each chapter adopts a different approach, explaining the methodological choices made in relation to the theme and the pursued objective. This approach, encompassing the entire map production process, will enable all readers, whether students, researchers, teachers or planners, to understand the multiple roles that maps can play in the analysis of geographical data.

Contenu

Foreword xi
Colette CAUVIN-REYMOND

Introduction xvii
Claire CUNTY and Hélène MATHIAN

Chapter 1. Exploring Statistical Relationships with Maps and Charts 1
Jean-Benoît BOURON, Claire CUNTY, Hélène MATHIAN and Myriam BARON

1.1. Introduction 1

1.2. Mapping the world: which world? what data? 4

1.3. Exploring data and relationships with maps and charts 11

1.4. Describing statistical relationships between several variables 18

1.5. Conclusion 25

1.6. References 26

Chapter 2. Heterogeneous Data Integration and Geoweb Cartographic Representations 29
Marianne GUÉROIS and Malika MADELIN

2.1. Introduction 29

2.2. New data: from production to visualization 32

2.3. New data, traditional data: why and how to integrate them? 45

2.4. Conclusion 59

2.5. References 61

Chapter 3. Environmental Data and Cartographic Objects 65
Étienne COSSART

3.1. Introduction 65

3.2. Building cartographic objects: deconstructing to reconstruct. 67

3.3. Dealing with disparate and incomplete data: examples from environmental geography 74

3.4. Conclusion 86

3.5. References 87

Chapter 4. Mapping and Identifying Geographic Configurations: The Example of Segregation 89
Sylvestre DUROUDIER

4.1. Introduction 89

4.2. Mapping: rendering spatial configurations visible or invisible 91

4.3. How to measure a phenomenon so as to reveal its forms 104

4.4. Capturing spatial forms using dynamic approaches 116

4.5. Conclusion 125

4.6. References 126

Chapter 5. Map and Statistical Model to Explore Spatial Heterogeneity 131
Mohamed HILAL and Julie LE GALLO

5.1. Introduction 131

5.2. From raw open-source data to statistical data 133

5.3. Preliminary explorations of spatial variations 139

5.4. Analyzing relationships statistically and rendering a map 149

5.5. Conclusion 168

5.6. References 169

Chapter 6. Mapping Time 173
Claire CUNTY and Hélène MATHIAN

6.1. Introduction 173

6.2. Formalization 175

6.3. Monitoring territorial changes 184

6.4. Representing phenomena associated with movement 191

6.5. Representing temporality 197

6.6. Conclusion 206

6.7. References 209

Chapter 7. Cartograms, Anamorphic Maps: Transformed Territories 217
Anne-Christine BRONNER

7.1. Introduction 217

7.2. Cartograms to represent count data associated with areal units 219

7.3. Anamorphic map for the representation of space-time 234

7.4. Anamorphic maps, cartograms: cross-cutting reflections on common principles and reading difficulties 247

7.5. Conclusion 251

7.6. References 252

Chapter 8. Exploration, Aggregation and Spatiotemporal Visualization of Big Data 257
Claude GRASLAND

8.1. Introduction 257

8.2. Defining the object of study and selecting the corpus 259

8.3. Crossing the "who" and "what" dimensions 264

8.4. Crossing the "who", "what" and "when" dimensions 266

8.5. Crossing the "who", "what" and "where" dimensions 270

8.6. Graphs to represent co-location relationships 275

8.7. Conclusion 282

8.8. References 284

Conclusion 287
Claire CUNTY and Hélène MATHIAN

List of Authors 291

Index 293