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Title: Management of diverse environmental data with SAS. [ORNL-based data base for Southeastern USA]

Abstract

Environmental assessment and planning for energy development require rapid access to data at appropriate spatial and temporal scales. In the Environmental Sciences Division at Oak Ridge National Laboratory, we have developed a spatial data base at the county-subcounty level of resolution. The data base contains information on terrain, water resources, forestry, agriculture, land use, wildlife, air quality, climate, critical natural areas, human population, health, and energy. Each of these subject sectors is stored as a SAS data set. The SAS directory is used extensively to describe the 800 variables contained in the present 30 data sets. The file currently occupies 10 million bytes of storage for a 16 state area in the southeastern United States. The data base is unique in that it was compiled from many existing data sources into a single, standardized file for a large geographic area. The data base is being used, for example, to study habitat relations and population dynamics of wildlife, potential changes in vegetation patterns related to predicted climate shifts from increased atmospheric CO/sub 2/, and regional energy facility impact assessment and siting.

Authors:
;
Research Org.:
Oak Ridge National Lab., TN (USA)
Sponsoring Org.:
USDOE
OSTI Identifier:
6621607
Report Number(s):
CONF-780147-1
DOE Contract Number:  
W-7405-ENG-26
Resource Type:
Conference
Resource Relation:
Conference: 3. conference of the SAS users group, Las Vegas, NV, USA, 30 Jan 1978
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; AGRICULTURE; INFORMATION SYSTEMS; AIR QUALITY; CLIMATES; DATA BASE MANAGEMENT; FORESTRY; LAND USE; TOPOGRAPHY; WATER RESOURCES; WILD ANIMALS; DATA COMPILATION; ORNL; SOUTHEAST REGION; ANIMALS; INDUSTRY; MANAGEMENT; NATIONAL ORGANIZATIONS; US AEC; US ERDA; US ORGANIZATIONS; 500500* - Environment, Atmospheric- Site Resource & Use Studies- (-1989); 510500 - Environment, Terrestrial- Site Resource & Use Studies- (-1989); 520500 - Environment, Aquatic- Site Resource & Use Studies- (-1989); 990300 - Information Handling

Citation Formats

Olson, R. J., and Strand, R. H. Management of diverse environmental data with SAS. [ORNL-based data base for Southeastern USA]. United States: N. p., Web.
Olson, R. J., & Strand, R. H. Management of diverse environmental data with SAS. [ORNL-based data base for Southeastern USA]. United States.
Olson, R. J., and Strand, R. H. . "Management of diverse environmental data with SAS. [ORNL-based data base for Southeastern USA]". United States. https://www.osti.gov/servlets/purl/6621607.
@article{osti_6621607,
title = {Management of diverse environmental data with SAS. [ORNL-based data base for Southeastern USA]},
author = {Olson, R. J. and Strand, R. H.},
abstractNote = {Environmental assessment and planning for energy development require rapid access to data at appropriate spatial and temporal scales. In the Environmental Sciences Division at Oak Ridge National Laboratory, we have developed a spatial data base at the county-subcounty level of resolution. The data base contains information on terrain, water resources, forestry, agriculture, land use, wildlife, air quality, climate, critical natural areas, human population, health, and energy. Each of these subject sectors is stored as a SAS data set. The SAS directory is used extensively to describe the 800 variables contained in the present 30 data sets. The file currently occupies 10 million bytes of storage for a 16 state area in the southeastern United States. The data base is unique in that it was compiled from many existing data sources into a single, standardized file for a large geographic area. The data base is being used, for example, to study habitat relations and population dynamics of wildlife, potential changes in vegetation patterns related to predicted climate shifts from increased atmospheric CO/sub 2/, and regional energy facility impact assessment and siting.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {},
month = {}
}

Conference:
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