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 xviii
... Transformation File Example 495 511 Appendix 3: The UTM Northern Hemisphere Projection Appendix 4: Molodensky Equations 515 Appendix 5: Section IV Review Questions 519 Appendix 6: Section IV Project Assignment 521 Index 529 1 Data ...
... Transformation File Example 495 511 Appendix 3: The UTM Northern Hemisphere Projection Appendix 4: Molodensky Equations 515 Appendix 5: Section IV Review Questions 519 Appendix 6: Section IV Project Assignment 521 Index 529 1 Data ...
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... transformations therein. These include the nutrient cycles (e.g., nitrogen and phosphorous), carbon cycle, contaminants, and other chemicals such as pesticides and hormones, etc. The ecological system consists of life cycles of ...
... transformations therein. These include the nutrient cycles (e.g., nitrogen and phosphorous), carbon cycle, contaminants, and other chemicals such as pesticides and hormones, etc. The ecological system consists of life cycles of ...
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... transformations necessary to enable this integration (Figure 3.2). However, every step in this processing chain of transformation and integration has great potential for introducing errors into the resultant integrated data products so ...
... transformations necessary to enable this integration (Figure 3.2). However, every step in this processing chain of transformation and integration has great potential for introducing errors into the resultant integrated data products so ...
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... transformation of data from one level to another should be controlled and verified, it is useful to formalize these transitions and associate wiht them specific kinds of QC processing. Therefore, we define the allowable transitions ...
... transformation of data from one level to another should be controlled and verified, it is useful to formalize these transitions and associate wiht them specific kinds of QC processing. Therefore, we define the allowable transitions ...
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... transformations Hydrologic observatories Center for hydrologic information Hydrologic synthesis center HO HO i i Federated digital library Harvesting Distributed data sources Distributed data sources Distributed data sources HO iHO iHO ...
... transformations Hydrologic observatories Center for hydrologic information Hydrologic synthesis center HO HO i i Federated digital library Harvesting Distributed data sources Distributed data sources Distributed data sources HO iHO iHO ...
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