Hydroinformatics

Data Integrative Approaches in Computation, Analysis, and Modeling

Praveen Kumar, Mike Folk, Momcilo Markus, Jay C. Alameda (Autoren)

Buch | Softcover

552 Seiten

2019
CRC Press (Verlag)
978-0-367-45397-8 (ISBN)

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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.

Kumar/, Praveen; Folk/, Mike; Markus/, Momcilo; Alameda/, Jay C.

Data Integrative Studies in Hydroinformatics. DATA DRIVEN INVESTIGATION IN HYDROLOGY. Unified Modeling Language. Digital Library Technology. Hydrologic Metadata. Hydrologic Data Models. Modelshed Data Model. MANAGING AND ACCESSING LARGE DATASETS. Data Models for Storage and Retrieval. Data Formats. HDF5. DATA COMMUNICATION. Web Services. XML. Grid Computing. Integrated Data Management. DATA PROCESSING AND ANALYSIS. Introduction to Data Processing. Understanding Data Sources. Data Representation. Spatial Registration. Georeferencing. Data Integration. Feature Extraction. Feature Selection and Analysis. SOFT COMPUTING. Statistical Data Mining. Neural Networks. Genetic Algorithms. Fuzzy Logic. APPENDICES. INDEX.

Erscheinungsdatum	10.01.2020
Zusatzinfo	24 Tables, black and white; 258 Illustrations, black and white
Verlagsort	London
Sprache	englisch
Maße	178 x 254 mm
Gewicht	453 g
Themenwelt	Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie
	Naturwissenschaften ► Geowissenschaften ► Hydrologie / Ozeanografie
	Technik ► Bauwesen
	Technik ► Umwelttechnik / Biotechnologie
	Weitere Fachgebiete ► Land- / Forstwirtschaft / Fischerei
ISBN-10	0-367-45397-5 / 0367453975
ISBN-13	978-0-367-45397-8 / 9780367453978
Zustand	Neuware