Details

<p>Foreword. The Taste for Measuring and Modeling xi<br /> Nicole MATHIEU</p> <p>Preface xxiii</p> <p>Acknowledgements xxv</p> <p><b>Chapter 1. The Place of Both the Model and Modeling in HSS 1</b><br /> <i>Patrice LANGLOIS and Daniel REGUER</i></p> <p>1.1. Models and modeling: definitions 2</p> <p>1.2. The mathematical concept of a model 5</p> <p>1.3. Is there a specificity of HSS? 7</p> <p>1.4. Modeling: explain to understand? 11</p> <p>1.5. Bibliography 13</p> <p><b>Chapter 2. From Classic Models to Incremental Models 15</b><br /> <i>Yves GUERMOND</i></p> <p>2.1. The geographic “object” 16</p> <p>2.2. Lessons from the “classic models” 16</p> <p>2.3. Introduction to dynamics and auto-organization 22</p> <p>2.4. From auto-organization to complexity 26</p> <p>2.5. Spatial agents 30</p> <p>2.6. Incremental modeling 32</p> <p>2.7. Bibliography 35</p> <p><b>Chapter 3. The Formalization of Knowledge in a Reality Simplifying System 39</b><br /> <i>Françoise LUCCHINI</i></p> <p>3.1. Formalizing a complex cultural system using a series of perspectives 40</p> <p>3.2. Differentiation of the system of cities by culture: contribution of the spatial analysis for testing the“global cultural model” 51</p> <p>3.3. Alternative formalizations 63</p> <p>3.4. Conclusion 69</p> <p>3.5. Bibliography 69</p> <p><b>Chapter 4. Modeling and Territorial Forecasting: Issues at Stake in the Modeling of Réunion’s Spatial System 71</b><br /> <i>Gilles LAJOIE</i></p> <p>4.1. Introduction 71</p> <p>4.2. A few major theoretical breakthroughs for modeling spatial complexity 72</p> <p>4.3. Modeling and territorial forecasting of the socio-spatial system of Réunion 78</p> <p>4.4. Modeling of Réunion’s socio-spatial system 90</p> <p>4.5. Towards a modeling of the dynamics of Réunion’s system 93</p> <p>4.6. Conclusion 97</p> <p>4.7. Bibliography 98</p> <p><b>Chapter 5. One Model May Conceal Another: Models of Health Geographies 101</b><br /> <i>Alain VAGUET</i></p> <p>5.1. Modeling in order to surpass descriptions? 102</p> <p>5.2. Mode of the models and models in vogue 104</p> <p>5.3. Conclusion 111</p> <p>5.4. Bibliography 111</p> <p><b>Chapter 6. Operational Models in HMO 113</b><br /> <i>Jean-François MARY and Jean-Manuel TOUSSAINT</i></p> <p>6.1. Buffer and barycenter to determine the location of cardiac defibrillation 114</p> <p>6.2. Thiessen’s accessibility formula 117</p> <p>6.3. Accessibility: the direct added-value of the GIS 121</p> <p>6.4. A regional database of road accessibility devoted to emergency 123</p> <p>6.5. The reallocation projects and their consequences 126</p> <p>6.6. Relocation of a medical clinic: simulation of a new accessibility 131</p> <p>6.7. Bibliography 134</p> <p><b>Chapter 7. Modeling Spatial Logics of Individual Behaviors: From Methodological Environmentalism to the Individual Resident Strategist 137</b><br /> <i>Michel BUSSI</i></p> <p>7.1. Reconsidering spatial determinism: modeling versus local development 138</p> <p>7.2. Ecological methodology 142</p> <p>7.3. Towards a post-industrialist behavior 149</p> <p>7.4. From neighborhood effect to the theory of the citizen-resident-strategist 152</p> <p>7.5. Bibliography 157</p> <p><b>Chapter 8. Temporalities and Modeling of Regional Dynamics: The Case of the European Union 161</b><br /> <i>Bernard ELISSALDE</i></p> <p>8.1. Integrating time and temporalities into spatial models 162</p> <p>8.2. Introduction of complexity theory in the interpretation of regional inequalities in Europe 168</p> <p>8.3. Conclusion 186</p> <p>8.4. Bibliography 188</p> <p><b>Chapter 9. Modeling the Watershed as a Complex Spatial System: A Review 191</b><br /> <i>Daniel DELAHAYE</i></p> <p>9.1. Shape indices for measuring various forms of a watershed 192</p> <p>9.2. Organization of the networks 193</p> <p>9.3. Synthesis concerning the shape and organization indices 200</p> <p>9.4. From morphometry to complex systems 202</p> <p>9.5. Conclusion 213</p> <p>9.6. Bibliography 213</p> <p><b>Chapter 10. Understanding to Measure...or Measuring to Understand? HBDS: Towards a Conceptual Approach for the Geographic Modeling of the Real World 217</b><br /> <i>Thierry SAINT-GERAND</i></p> <p>10.1. A forgotten face of the geographic approach 217</p> <p>10.2. Formalizing a spatial reasoning in databases 226</p> <p>10.3. Example of thematic application: the industrial risks at Notre- Dame-de-Gravenchon (lower Seine<br /> valley) 246</p> <p>10.4. Back to the sources 252</p> <p>10.5. Bibliography 253</p> <p><b>Chapter 11. Complexity and Spatial Systems 255</b><br /> <i>Patrice LANGLOIS</i></p> <p>11.1 The paradigm of complexity 255</p> <p>11.2. The systemic paradigm: from the combinatorial to emergence 260</p> <p>11.3. Moving towards a more formalized definition of the notion of a spatial system 266</p> <p>11.4. Bibliography 275</p> <p><b>Chapter 12. Cellular Automata for Modeling Spatial Systems 277</b><br /> <i>Patrice LANGLOIS</i></p> <p>12.1. The concept of the automaton and its modeling 277</p> <p>12.2. A little bit of history 278</p> <p>12.3. The concept of the finite state automaton 279</p> <p>12.4. The concept of the cellular automaton 285</p> <p>12.5. CAs used for geographic modeling 293</p> <p>12.6. Bibliography 306</p> <p>12.7. Websites 307</p> <p><b>Chapter 13. Multi-Agent Systems for Simulation in Geography: Moving Towards an Artificial Geography 309</b><br /> <i>Eric DAUDE</i></p> <p>13.1. Introduction 309</p> <p>13.2. From global to local description of structures and spatial dynamics 310</p> <p>13.3. Multi-agent systems 313</p> <p>13.4. Artificial geography: simulations of structures and spatial dynamics 319</p> <p>13.5. Conclusion 329</p> <p>13.6. Bibliography 329</p> <p><b>Conclusion 335</b><br /> <i>Yves GUERMOND</i></p> <p>List of Authors 337</p> <p>Index 339</p>

<p><strong>Yves Guermond</strong> is Emeritus Professor at the University of Rouen, France.

US