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 |
From inside the book
Results 1-5 of 30
Page xi
... optimization techniques, and risk/uncertainty modeling, with particular application to the operation and design of water supply, distribution, and wastewater systems. He jointly heads the University of Exeter's Centre for Water Systems ...
... optimization techniques, and risk/uncertainty modeling, with particular application to the operation and design of water supply, distribution, and wastewater systems. He jointly heads the University of Exeter's Centre for Water Systems ...
Page 5
... 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 information in our ...
... 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 information in our ...
Page 126
You have reached your viewing limit for this book.
You have reached your viewing limit for this book.
Page 275
You have reached your viewing limit for this book.
You have reached your viewing limit for this book.
Page 292
You have reached your viewing limit for this book.
You have reached your viewing limit for this book.
Contents
7 | |
Managing and Accessing Large Datasets | 101 |
Data Communication | 161 |
Data Processing and Analysis | 257 |
Soft Computing | 379 |
Appendices | 477 |
Index | 529 |
Other editions - View all
Common terms and phrases
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