Chapter Outline 4.1 Introduction 86 4.2 Types of scenarios of territorial futures 86 4.2.1 Qualitative, quantitative, and hybrid scenarios 86 4.2.2 Scenario-building methods 87 4.2.3 Territorialized prospective scenarios combining several territorial and organizational scales 88 4.3 The modeling approach in geoprospective 90 4.3.1 Uncertain knowledge in territorial geoprospective and its formalizations 90 4.3.2 The specificities of geoprospective modeling 92 4.3.3 A wide range of modeling methods 93 4.4 Modeling spatially explicit prospective based on the land change approach 94 4.5 Coupling prospective spatial modeling and decision aid tools 97 4.5.1 Companion modeling 97 4.5.2 Spatial prospective and companion modeling: toward a jointly constructed and informed decision 98 4.5.3 Introducing the modeling of the decision-making process into geoprospective 100 4.6 Uncertain causal models in the geoprospective approach 101 4.6.1 Rationale and options for uncertain causal models 101 4.6.2 Bayesian Networks as geoprospective models 102 4.7 Beyond probabilities in geoprospective uncertain causal models 105 4.8 Geovisualization—representing and sharing the knowledge gained from spatial models 108 4.8.1 Graphic modeling and prospective choremes 109 4.8.2 3D representations and geoprospective 111 4.9 Conclusion 115 Acknowledgements 117 References 117