 | 会員なら、この商品は10%Amazonポイント還元 （ポイントが表示されている場合は、表示ポイント＋10％還元）。 |
商品の説明
内容説明
Modern hydrology is more interdisciplinary than ever. Staggering amounts and varieties of information pour in from GIS and remote sensing systems every day, and this information must be collected, interpreted, and shared efficiently. Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling introduces the tools, approaches, and system considerations necessary to take full advantage of the abundant hydrological data available today.
Linking hydrological science with computer engineering, networking, and database science, this book lays a pedagogical foundation in the concepts underlying developments in hydroinformatics. It begins with an introduction to data representation through Unified Modeling Language (UML), followed by digital libraries, metadata, the basics of data models, and Modelshed, a new hydrological data model. Building on this platform, the book discusses integrating and managing diverse data in large datasets, data communication issues such as XML and Grid computing, the basic principles of data processing and analysis including feature extraction and spatial registration, and modern methods of soft computing such as neural networks and genetic algorithms.
Today, hydrological data are increasingly rich, complex, and multidimensional. Providing a thorough compendium of techniques and methodologies, Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling is the first reference to supply the tools necessary to confront these challenges successfully.
Linking hydrological science with computer engineering, networking, and database science, this book lays a pedagogical foundation in the concepts underlying developments in hydroinformatics. It begins with an introduction to data representation through Unified Modeling Language (UML), followed by digital libraries, metadata, the basics of data models, and Modelshed, a new hydrological data model. Building on this platform, the book discusses integrating and managing diverse data in large datasets, data communication issues such as XML and Grid computing, the basic principles of data processing and analysis including feature extraction and spatial registration, and modern methods of soft computing such as neural networks and genetic algorithms.
Today, hydrological data are increasingly rich, complex, and multidimensional. Providing a thorough compendium of techniques and methodologies, Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling is the first reference to supply the tools necessary to confront these challenges successfully.
登録情報
|
この本のなか見！検索より
（詳細はこちら）
カスタマーレビュー
Amazon.com で最も参考になったカスタマーレビュー (beta)
Amazon.com:
5つ星のうち 5.0
1件のカスタマーレビュー
5つ星のうち 5.0
Fantastic information tutorial
2011/1/26
By D. Offer
- (Amazon.com)
形式:ハードカバー
This textbook has a fantastic overview and tutorial of information handling that is applicable to much more than hydrology. The chapter on HDF5 alone is the best explanation I've seen yet of how it works. The example code is clear and builds from very basic operations to complex operations.
Contents
1. Data Integrative Studies in Hydroinformatics
2. Unified Modeling Language
3. Digital Library Technology for Hydrology
4. Hydrologic Metadata
5. Hydrologic Data Models
6. The Modelshed Geodata
7. Data Models for Storage and Retrieval
8. Data Formats
9. HDF5
10. Web Services
11. Extensible Markup Language
12. Grid Computing
13. Integrated Data Management System
14. Introduction to Data Processing
15. Understanding Data Sources
16. Data Representation
17. Spatial Registration
18. Georeferencing
19. Data Integration
20. Feature Extraction
21. Feature Selection and Analysis
22. Statistical Data Mining
23. Artificial Neural Networks
24. Genetic Algorithms
25. Fuzzy Logic
Appendix 1
Appendix 2
Appendix 3
Appendix 4
Appendix 5
Appendix 6
Index
Contents
1. Data Integrative Studies in Hydroinformatics
2. Unified Modeling Language
3. Digital Library Technology for Hydrology
4. Hydrologic Metadata
5. Hydrologic Data Models
6. The Modelshed Geodata
7. Data Models for Storage and Retrieval
8. Data Formats
9. HDF5
10. Web Services
11. Extensible Markup Language
12. Grid Computing
13. Integrated Data Management System
14. Introduction to Data Processing
15. Understanding Data Sources
16. Data Representation
17. Spatial Registration
18. Georeferencing
19. Data Integration
20. Feature Extraction
21. Feature Selection and Analysis
22. Statistical Data Mining
23. Artificial Neural Networks
24. Genetic Algorithms
25. Fuzzy Logic
Appendix 1
Appendix 2
Appendix 3
Appendix 4
Appendix 5
Appendix 6
Index
›
Amazon.com のカスタマーレビューを見る
5つ星のうち 5.0
このレビューはお役に立ちましたか？
ご意見はクチコミでお聞かせください。
リストマニア
関連商品を探す
- 洋書 > Computers & Internet
- 洋書 > Outdoors & Nature > Environment
- 洋書 > Professional & Technical > Engineering > Civil
- 洋書 > Professional & Technical > Engineering > Computer Technology
- 洋書 > Professional & Technical > Professional Science > Earth Sciences
- 洋書 > Science > Earth Sciences > Environmental Science
- 洋書 > Science > Earth Sciences > Geology
- 洋書 > Science > Nature & Ecology > Environment
- 洋書 > Science > Technology
- 洋書 > Special Features > all foreign books
フィードバック
- カタログ情報、または画像について報告
- 著者からのコメント
- 出版社からのコメント
|
