Integrated Approach to Environmental Data Management Systems
Nonfiction, Science & Nature, Technology, Environmental, Science, Earth Sciences, Nature
| Author: | ISBN: | 9789401156165 | |
| Publisher: | Springer Netherlands | Publication: | December 6, 2012 |
| Imprint: | Springer | Language: | English |
| Author: | |
| ISBN: | 9789401156165 |
| Publisher: | Springer Netherlands |
| Publication: | December 6, 2012 |
| Imprint: | Springer |
| Language: | English |
An integrated approach to environmental data management is necessitated by the complexity of the environmental problems that need to be addresses, coupled with the interdisciplinary approach that needs to be adopted to solve them. Agenda 21 of the Rio Environmental Conference mandated international programmes and organizations to take steps to develop common data and information management plans, and steps have been taken in this direction.
The key word that defines the framework of the present book is `integration'. The book establishes the basics of integrated approaches and covers environmental data management systems within that framework, covering all aspects of data management, from objectives and constraints, design of data collection networks, statistical and physical sampling, remote sensing and GIS, databases, reliability of data, data analysis, and the transformation of data into information.
An integrated approach to environmental data management is necessitated by the complexity of the environmental problems that need to be addresses, coupled with the interdisciplinary approach that needs to be adopted to solve them. Agenda 21 of the Rio Environmental Conference mandated international programmes and organizations to take steps to develop common data and information management plans, and steps have been taken in this direction.
The key word that defines the framework of the present book is `integration'. The book establishes the basics of integrated approaches and covers environmental data management systems within that framework, covering all aspects of data management, from objectives and constraints, design of data collection networks, statistical and physical sampling, remote sensing and GIS, databases, reliability of data, data analysis, and the transformation of data into information.
