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Hydroinformatics

Data Integrative Approaches in Computation, Analysis, and Modeling

Hydroinformatics by Praveen Kumar
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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
CRC Press; November 2005
553 pages; ISBN 9781420038002
Read online, or download in secure PDF format
Title: Hydroinformatics
Author: Praveen Kumar; Mike Folk; Momcilo Markus; Jay C. Alameda
 
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