| Introduction |
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ix | |
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Chapter 1 Building Objects in Time |
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1 | (28) |
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1.1 Different points of view on ontology |
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4 | (12) |
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4 | (4) |
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1.1.2 Qualification of the objects from an ontological perspective: "bona fide" versus "fiat" objects |
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8 | (2) |
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1.1.3 Specification of ontologies in the field of spatial analysis and geographical sciences: objects versus fields |
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10 | (3) |
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1.1.4 An example of empirical objects' construction: the case of cities |
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13 | (3) |
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1.2 Locating spatial objects in time |
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16 | (12) |
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1.2.1 Objects' formalization in time: "endurant" and "perdurant" entities of philosophers |
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17 | (4) |
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1.2.2 From change to objects' life |
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21 | (7) |
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28 | (1) |
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Chapter 2 From Empirical Questioning to Spatio-temporal Modeling |
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29 | (36) |
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2.1 From the conception of entities to their analysis of responding to thematic issues |
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30 | (14) |
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2.1.1 Building the spatio-temporal objects from the empirical observations (challenge 1) |
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32 | (3) |
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2.1.2 Representing and exploring change and movement (challenge 2) |
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35 | (3) |
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2.1.3 Analyzing the evolution of statistical and spatial relationships (challenge 3) |
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38 | (3) |
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2.1.4 Identifying the underlying processes of change: simulation and scenario testing (challenge 4) |
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41 | (3) |
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2.2 Challenges and models: the possible misunderstandings |
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44 | (2) |
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46 | (18) |
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2.3.1 Cities' dynamics: construction and follow-up of composite objects in time |
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47 | (6) |
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2.3.2 Distribution of urban functions in the intra-urban space: construction of spatio-temporal functional objects |
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53 | (3) |
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2.3.3 Evaluating the impact of mobile objects on a spatial support |
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56 | (4) |
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2.3.4 What factors are behind the emergence and/or the reinforcement of school segregation? Construction of multilevel and multidate information |
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60 | (4) |
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64 | (1) |
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Chapter 3 Analyzing Spatio-temporal Data: Empirical and Statistical Approaches |
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65 | (34) |
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3.1 Statistical data and spatio-temporal analysis |
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66 | (10) |
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3.1.1 Spatial analysis evolution in a context influenced by statistics and computer science |
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66 | (4) |
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3.1.2 Different ways to take time and space into account to analyze spatio-temporal processes |
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70 | (3) |
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3.1.3 From entities' dynamics to that of organizations: what is it that changes and relative to what frame of reference? |
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73 | (3) |
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3.2 Following the evolution of the structure of spatial systems |
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76 | (10) |
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3.2.1 Describing the evolution of space and hierarchical organizations |
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76 | (6) |
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3.2.2 Change, temporalities and statistical explanations |
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82 | (4) |
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3.3 Understanding the evolution of a spatial system's entities |
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86 | (11) |
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3.3.1 Constructing, describing and categorizing trajectories of evolution |
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87 | (4) |
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3.3.2 Identifying a priori defined types of change to classify evolutions |
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91 | (2) |
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3.3.3 "Unfolded" time and forecast |
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93 | (4) |
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97 | (2) |
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Chapter 4 Exploring the Underlying Processes of Change: Simulation Models |
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99 | (34) |
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4.1 Computer simulation versus statistical approach: different points of view about explanation |
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99 | (8) |
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4.1.1 From covariation to interaction, from differentiation to emergence |
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102 | (2) |
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4.1.2 Different types of explanation: from the percentage of variance explained to the generation of mechanisms |
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104 | (1) |
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4.1.3 Different points of view on multilevel phenomena |
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105 | (2) |
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4.2 Microsimulation models |
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107 | (5) |
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4.3 Computing models: simulation and emergence |
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112 | (17) |
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4.3.1 Modeling the diffusion of a migratory wave front |
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113 | (2) |
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4.3.2 Cellular automata approaches: the case of land use changes |
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115 | (5) |
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4.3.3 Agent-based models applied to simple entities |
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120 | (4) |
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4.3.4 Agent modeling on composite entities |
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124 | (5) |
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129 | (4) |
| Conclusion |
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133 | (6) |
| Bibliography |
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139 | (16) |
| Index |
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155 | |
Lisainfo e-raamatute kohta