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 xvii
... Modelshed Geodata Model Benjamin L. Ruddell and Praveen Kumar 81 II Managing and Accessing Large Datasets 101 103 7 Data Models for Storage and Retrieval Michael J. Folk 117 8 Data Formats Michael J. Folk 135 9 HDF5 Michael J. Folk III ...
... Modelshed Geodata Model Benjamin L. Ruddell and Praveen Kumar 81 II Managing and Accessing Large Datasets 101 103 7 Data Models for Storage and Retrieval Michael J. Folk 117 8 Data Formats Michael J. Folk 135 9 HDF5 Michael J. Folk III ...
Page xviii
... Modelshed Tools Operation 479 Appendix 2: XSL 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 ...
... Modelshed Tools Operation 479 Appendix 2: XSL 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 ...
Page 4
... model [1]. This data model is becoming popular among the surface water hydrology community, as it integrates several types of data into a common framework. Chapter 6 describes a new data model, Modelshed, which is built on top of Arc ...
... model [1]. This data model is becoming popular among the surface water hydrology community, as it integrates several types of data into a common framework. Chapter 6 describes a new data model, Modelshed, which is built on top of Arc ...
Page 18
... Modelshed::Modelshed Modelshed::ModelPoint {GeometryType = esriGeometryPoint} Modelshed::ModelArea {GeometryType = esriGeometryPolygon} FIGURE 2.7 The Modelshed geodata model inherits from the geodatabase classes. Row, object, and ...
... Modelshed::Modelshed Modelshed::ModelPoint {GeometryType = esriGeometryPoint} Modelshed::ModelArea {GeometryType = esriGeometryPolygon} FIGURE 2.7 The Modelshed geodata model inherits from the geodatabase classes. Row, object, and ...
Page 19
... model design, and manages different views of the data model. This design diagram may be modified to update and expand the model. FIGURE ArcHydro and Modelshed geodata models inherit from this structure (see Figure 2.7). The “Modelshed ...
... model design, and manages different views of the data model. This design diagram may be modified to update and expand the model. FIGURE ArcHydro and Modelshed geodata models inherit from this structure (see Figure 2.7). The “Modelshed ...
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