ABSTRACT
Modern 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
TABLE OF CONTENTS
part Section I|2 pages
Data Driven Investigations in Hydrology
part Section II|2 pages
Managing and Accessing Large Datasets
part Section III|2 pages
Data Communication
part Section IV|2 pages
Data Processing and Analysis
part Section V|2 pages
Soft Computing
