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 xi
... algorithms, decision trees, support vector machines, and artificial neural networks, innovative and cost-effective solutions to investigate complex environmental problems. Michael Piasecki, Ph.D. is an associate professor in the ...
... algorithms, decision trees, support vector machines, and artificial neural networks, innovative and cost-effective solutions to investigate complex environmental problems. Michael Piasecki, Ph.D. is an associate professor in the ...
Page xviii
... Algorithms Barbara Minsker 455 25 Fuzzy Logic Lydia Vamvakeridou-Lyroudia and Dragan Savic VI Appendices 477 Appendix 1: A Tutorial for Geodatabase and Modelshed Tools Operation 479 Appendix 2: XSL Transformation File Example 495 511 ...
... Algorithms Barbara Minsker 455 25 Fuzzy Logic Lydia Vamvakeridou-Lyroudia and Dragan Savic VI Appendices 477 Appendix 1: A Tutorial for Geodatabase and Modelshed Tools Operation 479 Appendix 2: XSL Transformation File Example 495 511 ...
Page 5
... Algorithms, an optimization tool used in a wide variety of applications. In Chapter 25, we provide an introduction to Fuzzy Logic which moves us out of the probabilistic domain to enable us to include uncertain and subjective ...
... Algorithms, an optimization tool used in a wide variety of applications. In Chapter 25, we provide an introduction to Fuzzy Logic which moves us out of the probabilistic domain to enable us to include uncertain and subjective ...
Page 133
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Page 220
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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