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 20
... properties, attributes, and methods of classes may be edited and programmed directly within the diagram. The various diagrams are automatically crosschecked and updated with changes to maintain the integrity of the object structure ...
... properties, attributes, and methods of classes may be edited and programmed directly within the diagram. The various diagrams are automatically crosschecked and updated with changes to maintain the integrity of the object structure ...
Page 31
... properties that must be represented in a mathematical model to be run on a computer to compute the mass balance of the cycle using empirical Applications e.g., ArcHydro, HEC/RAS e.g., Hydrologic cycle Conceptual models Data Helly 31.
... properties that must be represented in a mathematical model to be run on a computer to compute the mass balance of the cycle using empirical Applications e.g., ArcHydro, HEC/RAS e.g., Hydrologic cycle Conceptual models Data Helly 31.
Page 32
... properties is the data model for that mathematical model. However, there are data models at various levels of computer system architecture ranging from the hardware representation of numbers to those used to design database management ...
... properties is the data model for that mathematical model. However, there are data models at various levels of computer system architecture ranging from the hardware representation of numbers to those used to design database management ...
Page 52
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Page 55
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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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Common terms and phrases
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