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
... errors are associated with the measurements, what variables were measured, etc. Metadata may also be associated with results of numerical simulations in order to describe the problem, domain, variables, time frame, etc. When looking for ...
... errors are associated with the measurements, what variables were measured, etc. Metadata may also be associated with results of numerical simulations in order to describe the problem, domain, variables, time frame, etc. When looking for ...
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... error was detected. In other words, an effective method of traceability must provide enough information to debug a ... errors into the resultant integrated data products so we shall describe here the approach we are following in the ...
... error was detected. In other words, an effective method of traceability must provide enough information to debug a ... errors into the resultant integrated data products so we shall describe here the approach we are following in the ...
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... errors or anomalies. 4. Decompose a composite data object to enable the identification of components presenting inconsistencies with respect to other data components enabling the unambiguous identification of the components that have ...
... errors or anomalies. 4. Decompose a composite data object to enable the identification of components presenting inconsistencies with respect to other data components enabling the unambiguous identification of the components that have ...
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... errors introduced during the processing that produced the new ADO. To facilitate portability and universal access the recommended format is a flat ASCII file.1 It is, however, impractical to insist on this convention as described ...
... errors introduced during the processing that produced the new ADO. To facilitate portability and universal access the recommended format is a flat ASCII file.1 It is, however, impractical to insist on this convention as described ...
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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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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