Finding the Forest in the Trees:

The Challenge of Combining Diverse Environmental Data

Status: Available Now

Size: 144 pages, 6 x 9

Publication Year:1995

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Authors:
Committee for a Pilot Study on Database Interfaces, National Research Council
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Description:
During the last few decades of the 20th century, the development of an array of technologies has made it possible to observe the Earth, collect large quantities of data related to components and processes of the Earth system, and store, ...
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Table of Contents
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Front Matter	i-xiv
Executive Summary	1-11	(skim)
1 Introduction	12-17	(skim)
2 Impact Assessment Project for Drought Early Warning in the Sahel	18-29	(skim)
3 The National Acid Preciptation Assessment Program	30-45	(skim)
4 The H.J. Andrew Experimental Forest Long-Term Ecological Research Site	46-55	(skim)
5 The Carbon Dioxide Information Analysis Center	56-65	(skim)
6 The First ISLSCP Field Experiment	66-73	(skim)
7 The California Cooperative Oceanic Fisheries Investigation	74-80	(skim)
8 Interfacing Diverse Environmental Data-Issues and Recommendations	81-118	(skim)
Appendixes	119-120	(skim)
Appendix A: Case Study Evaluation Criteria	121-127	(skim)
Appendix B: List of Abbreviations and Acronyms	128-129	(skim)

Description

During the last few decades of the 20th century, the development of an array of technologies has made it possible to observe the Earth, collect large quantities of data related to components and processes of the Earth system, and store, analyze, and retrieve these data at will. Over the past ten years, in particular, the observational, computational, and communications technologies have enabled the scientific community to undertake a broad range of interdisciplinary environmental research and assessment programs. Sound practice in database management are required to deal with the problems of complexity in such programs and a great deal of attention and resources has been devoted to this area in recent years. However, little guidance has been provided on overcoming the barriers frequently encountered in the interfacing of disparate data sets. This book attempts to remedy that problem by providing analytical and functional guidelines to help researchers and technicians to better plan and implement their supporting data management activities.

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