----- 水信息学:计算、分析与建模的数据集成方法
Data Integrative Studies in Hydroinformatics Praveen Kumar . What is Hydroinformatics? . Scope of the Book . References DATA DRIVEN INVESTIGATION IN HYDROLOGY Unified Modeling Language Benjamin L.Ruddell and Praveen Kumar . What is UML? . The Framework of the UML . Object Model Diagrams . Database Design and Deployment. . References . Abbreviations Digital Library Technology John J.Helly . Introduction . Building the Hydrologic Information System Digital Library . References Hydrologic Metadata Michael Piaseki . Introduction to Metadata. . Definition of Metadata Categories . Metadata: Problems and Standardization . Hydrologic Metadata . References Hydrologic Data Models Benjamin L.Ruddell and Praveen Kumar . Data Models . Geodata Models . The ArcHydro Data Model . References . Abbreviations Modelshed Data Model Benjamin L.Ruddell and Praveen Kumar . Modelshed Framework . The Modelshed Geodata Model Structure . Abbreviations MANAGING AND ACCESSING LARGE DATASETS Data Models for Storage and Retrieval Michael J.Folk . Survey of Different Types and Uses of Data . Who are the Users? . Gathering, Using, and Archiving Data . Data Management Challenges . Summary . References Data Formats Michael J.Folk . Formats and Abstraction Layers . Concepts of Data File Formats . Summary . References HDF5 Michael J.Folk . What is HDF5? . HDF5 Data Model: Drilling Down . HDF5 Library . Example Problem: Using the HDF5 File Format as IO for an Advection -Diffusion Model . References DATA COMMUNICATION Web Services Jay Alameda . Distributed Object Systems . Web Services . References XML Jay Alameda . Data Descriptions . Task Descriptions in XML . References Grid Computing Jay Alameda . Grid Genesis . Protocol-Based Grids . Service Grids . Application Scenarios . References Integrated Data Management Seongeun Jeong,Yao Liang,and Xu Liang . Introduction . Metadata and Integrated Data Management . Metadata Mechanism for Data Management . Data Management System Using Metadata Mechanism . Development of an Integrated Data Management System . Conclusions . References DATA PROCESSING AND ANALYSIS Introduction to Data Processing Peter Bajcsy . Introduction to Section IV . Motivation Example . NSF Funded Applications . Overview of Section IV . Terminology . References Understanding Data Sources Peter Bajcsy . Introduction . Data Sources from Data Producers . Example of Data Generation for Modeling BRDFs . Example of Data Acquisitions Using Wireless Sensor Networks . Summary . References Data Representation Peter Bajcsy . Introduction . Vector Data Types . Raster Data Types . Summary . References Spatial Registration Peter Bajcsy . Introduction . Spatial Registration Steps . Computational Issues Related to Spatial Registration . Summary . References Georeferencing Peter Bajcsy . Introduction . Georeferencing Models . Geographic Transformations . Finding Georeferencing Information . Summary . References Data Integration Peter Bajcsy . Introduction . Spatial Interpolation with Kriging . Shallow Integration of Geospatial Raster Data . Deep Integration of Raster and Vector Data . Summary . References Feature Extraction Peter Bajcsy . Introduction . Feature Extraction from Point Data. . Feature Extraction from Raster Data . Summary . References Feature Selection and Analysis Peter Bajcsy . Introduction . General Feature Selection Problem . Spectral Band Selection Problem . Overview of Band Selection Methods . Conducting Band Selection Studies . Feature Analysis and Decision Support Example . Evaluation of Geographic Territorial Partitions and Decision Support . Summary . References SOFT COMPUTING Statistical Data Mining Amanda B.White and Praveen Kumar . Supervised Learning . Unsupervised Learning . References Neural Networks Momcilo Markus . Introduction . Back-Propagation Neural Networks . Synthetic Data Generation Based on Neural Networks . Radial Basis Neural Networks: Minimal Resource Allocation Networks . References Genetic Algorithms Barbara Minsker . Introduction . GA Basics . Formulating Hydroinformatics Optimization Problems: A Case Study in Groundwater Monitoring Design . GA Theory . Design Methodology for SGA Parameter Setting and Finding the Optimal Solution . Overcoming Computational Limitations . Advanced GAs . References Fuzzy Logic Lydia Vamvakeridou-Lyroudia and Dragan Savic . Introduction . Fuzzy Sets Essentials . Fuzzy Modeling . Fuzzy Reasoning Tutorial: An Example . References APPENDICES Appendix A: A Tutorial for Geodatabase and Modelshed Tools Operation Appendix B Appendix C: The UTM Northern Hemisphere Projection Appendix D: Molodensky Equations Appendix E: Section IV Review Questions Appendix F: Section IV Project Assignment INDEX
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