A New Geographic Process Data Model

Processes, although the subject matter of geography, have not been represented in a manner that aids their querying and analysis. This dissertation develops an appropriate data model that allows for such a process oriented representation, which is built upon a theory of process. The data model, called nen, focuses existing modeling approaches on representing and storing process information. The flux simulation framework was created utilizing the nen data model to represent processes; it extends the RePast agent based modeling environment. This simulator includes basic classes for developing a domain specific simulation…

Contents

Chapter I: Introduction
1. Entrée
2. Objectives
3. Shape
Chapter II: Theoretical Review
1. Introduction
2. Geographic things
2.1 Primitives
2.2 Process and Change
3. Ontological Foundations
3.1 Ontologies for Primitive Modeling
3.2 Ontologies Thus Far
4. Philosophical Foundations
4.1 Process Philosophy
4.2 Four-dimensionalism
5. Geographic Holes
6. Teleporting to Conceptual Worlds
Chapter III: Conceptualizing Process
1. Introduction
2. Process
2.1 Process Undefined
2.2 Process Properties and Behavior
2.3 Process Identity
2.4 Process Space-time
3. Process Parts
3.1 Temporal Parts
3.2 Spatial Parts
3.3 Spatio-temporal Parts
3.4 Process Granularity Trees and Scale
4. Process Relationships
5. On to Ontologies
Chapter IV: Flux Ontology
1. Introduction
2. Ontology Languages and Tools
2.1 Ontology Editors
2.2 UML
2.3 PSL
2.4 OWL and extensions
3. Flux Ontology
3.1 Classes
3.2 Properties
3.3 Rules
3.4 Methods
4. Concluding Part I
Chapter V: Methodological Review
1. Introduction
2. Modeling Geographic things
2.1 GIS and Extensions
2.2 CA and ABM
2.3 EBM
2.4 Databases and Query Languages
2.5 Ontology Based Modeling
3. Advantages and Significance of Process
3.1 Modeling Processes
3.2 Storing and Querying Processes
3.3 Process Analysis and Causality
3.4 Efficiency and Interoperability
4. Closing Comments
Chapter VI: Conceptual Model
1. Introduction
2. Tightening Some Conceptual Screws
3. Process Model Structure
3.1 Model Class
3.2 Process Class
3.3 Parameter Class
4. Model Behavior and Output
5. Process Queries
5.1 Process State Query
5.2 Process Change Query
6. Towards Implementation
Chapter VII: Prototype Implementation
1. Introduction
2. Simulation Environment
3. Simulator Structure
4. Simulation and Results
5. Querying the Model Results
5.1 Queries
5.2 Displaying Results
6. Ontology Based Simulation
7. Concluding Part II
Chapter VIII: Watershed Modeling Review
1. Introduction
2. Modeling Watershed Hydrology
2.1 Equation Based Models and GIS Connections
2.2 Other Computational Simulation Environments
3. An Alternative Data Model
4. Review Conclusion
Chapter IX: RCEW Runoff Simulation
1. Introduction
2. Data Source
3. Parameter preparation
3.1 Precipitation
3.2 Elevation
3.3 Bedrock
3.4 Evapotranspiration
3.5 Saturated Hydraulic Conductivity
3.6 Infiltration Capacity
3.7 Watertable
4. Process Specification
4.1 Infiltration (I)
4.2 Percolation (P)
4.3 Groundwater Flow (GF)
4.4 Hortonian Overland Runoff (HO)
4.5 Saturation Excess Runoff (SE)
4.6 Surface Ponding (SP)
5. Results and Discussion
5.1 Hydrograph Simulation and Extensions
5.2 Exploring the Results
5.3 Validation
6. Concluding Part III
Chapter X: Conclusion
1. Rewing
2. Fast Forward
3. Stop
Appendix A: Flux Ontology
Appendix B: Method Ontology
Appendix C: Class Diagram of Flux Modeling Package
Appendix D: Flux Implementation Ontology
Appendix E: Runoff Implementation Ontology
Appendix F: Summary of RCEW Data
References

Author: Reitsma, Femke Emma

Source: University of Maryland

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