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
... Spatial Registration Peter Bajcsy 18 Georeferencing Peter Bajcsy 19 Data Integration Peter Bajcsy 20 Feature Extraction Peter Bajcsy 21 Feature Selection and Analysis Peter Bajcsy V 303 319 343 355 Soft Computing 379 381 22 Statistical ...
... Spatial Registration Peter Bajcsy 18 Georeferencing Peter Bajcsy 19 Data Integration Peter Bajcsy 20 Feature Extraction Peter Bajcsy 21 Feature Selection and Analysis Peter Bajcsy V 303 319 343 355 Soft Computing 379 381 22 Statistical ...
Page 4
... spatial coordinate systems (spatial registration, georeferencing) and temporal synchronization; (4) data integration (integration and fusion of related or unrelated features over common spatial and temporal regions); (5) feature ...
... spatial coordinate systems (spatial registration, georeferencing) and temporal synchronization; (4) data integration (integration and fusion of related or unrelated features over common spatial and temporal regions); (5) feature ...
Page 27
... spatial, temporal, and thematic extents. This process of data integration can be expected to increase for the indefinite future across scientific disciplines. A similar type of process, often called data fusion, has been used in ...
... spatial, temporal, and thematic extents. This process of data integration can be expected to increase for the indefinite future across scientific disciplines. A similar type of process, often called data fusion, has been used in ...
Page 31
... spatial, temporal, and thematic (e.g., keyword) queries based on the content of the metadata. The ability to delete an ADO must be tightly controlled to prevent the arbitrary deletion of data that users have copied. In a manner ...
... spatial, temporal, and thematic (e.g., keyword) queries based on the content of the metadata. The ability to delete an ADO must be tightly controlled to prevent the arbitrary deletion of data that users have copied. In a manner ...
Page 44
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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