Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and ModelingModern 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, approache |
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Page 3
... important component of the digital library technology. In these regard, metadata is an extremely important component of the data management process, particularly as the number of records stored in a database grows significantly large ...
... important component of the digital library technology. In these regard, metadata is an extremely important component of the data management process, particularly as the number of records stored in a database grows significantly large ...
Page 4
... important bearing on the types of operations that can be performed efficiently. For example, the Roman representation of numbers is not as amenable to numerical operations as the Hindu–Arabic representation. As new data is available ...
... important bearing on the types of operations that can be performed efficiently. For example, the Roman representation of numbers is not as amenable to numerical operations as the Hindu–Arabic representation. As new data is available ...
Page 10
... important? Software development is a lot like architecture, and this comparison is useful for understanding the UML. Take, for example, the architectural analogy of the doghouse and the skyscraper. If we are planning to build a doghouse ...
... important? Software development is a lot like architecture, and this comparison is useful for understanding the UML. Take, for example, the architectural analogy of the doghouse and the skyscraper. If we are planning to build a doghouse ...
Page 12
... important things for data modeling are classes, interfaces, packages, and notes. Here is a list of the different UML “Things”: 1. Structural things • Class: object class with methods and attributes • Interface: standardized access point ...
... important things for data modeling are classes, interfaces, packages, and notes. Here is a list of the different UML “Things”: 1. Structural things • Class: object class with methods and attributes • Interface: standardized access point ...
Page 14
... important relationships for data modeling. 2.2.3 UML Diagrams If the things and relationships of the UML are like the lines and words on a blueprint, then UMLdiagramsare the blueprint itself. In the building of a skyscraper, the ...
... important relationships for data modeling. 2.2.3 UML Diagrams If the things and relationships of the UML are like the lines and words on a blueprint, then UMLdiagramsare the blueprint itself. In the building of a skyscraper, the ...
Contents
7 | |
Managing and Accessing Large Datasets | 101 |
Data Communication | 161 |
Data Processing and Analysis | 257 |
Soft Computing | 379 |
Appendices | 477 |
Index | 529 |
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algorithm analysis application approach associated attributes bands boundary called Center chapter clusters complex component contains coordinate create data model data structures database datasets defined described distance distributed elements Engineering Equation error example extraction feature field Figure format function fuzzy geographic given grid HDF5 hydrologic illustrated implementation important input integration interface logical mean measurements metadata methods Modelshed multiple Name node objects operations optimization organized original output parameters perform prediction presented problem projection properties query raster records References relationship represent requires Research rules schema segment selection sensor shown simple sources spatial specific standard step storage stored structure transformation tree University values variables vector visualization xs:element