𝔖 Bobbio Scriptorium
✦   LIBER   ✦

The development of an ecological classification data management and analysis system for British Columbia

✍ Scribed by G. M. Britton; D. V. Meidinger; A. Banner


Publisher
Springer
Year
1996
Tongue
English
Weight
471 KB
Volume
39
Category
Article
ISSN
0167-6369

No coin nor oath required. For personal study only.

✦ Synopsis


Since 1975

, the British Columbia Ministry of Forests has been systematically developing an ecosystem classification of the province, an area covering 94 million hectares. This Biogeoclimatic Ecosystem Classification (BEC) system provides a framework for resource conservation and management. To date, approximately 250 person-years have been invested in the collection, analysis and synthesis of over 8000 ecological (vegetation and environmental data) plots, and in the production of ecological field guides.

The development of a database and analysis system on the micro-computer platform to support a classification system of this magnitude was a complex procedure that required judicious planning and coordination. We have developed data-processing software that permits a user to select raw data from broad provincial or regional coverage to plot-and species-level summaries, and to export the data to a variety of output formats.

This paper addresses key issues for handling ecological field data on the desktop computer with emphasis on standards, operator ease-of-use, and data access. G.M. BRITTON ET AL.

TABLE I Evolution of BEC database and data analysis systems. Time period Database Data analysis


πŸ“œ SIMILAR VOLUMES


New knowledge management systems: The im
✍ David Stern πŸ“‚ Article πŸ“… 2003 πŸ› John Wiley and Sons 🌐 English βš– 52 KB πŸ‘ 2 views

## Abstract The papers presented at the 2002 Tri‐Society Symposium on Chemical Information highlight questions we should consider as we develop new paradigms for information storage and retrieval systems. These new knowledge management systems will require novel approaches for data discovery, colle

The data grid: Towards an architecture f
✍ Ann Chervenak; Ian Foster; Carl Kesselman; Charles Salisbury; Steven Tuecke πŸ“‚ Article πŸ“… 2000 πŸ› Elsevier Science 🌐 English βš– 79 KB

In an increasing number of scientific disciplines, large data collections are emerging as important community resources. In this paper, we introduce design principles for a data management architecture called the data grid. We describe two basic services that we believe are fundamental to the design