SAS procedures for designing and analyzing sample surveys
Bulletin of the Ecological Society of America
By: Joshua D. Stafford, Kenneth J. Reinecke, and Richard M. Kaminski
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Abstract
Complex surveys often are necessary to estimate occurrence (or distribution), density, and abundance of plants and animals for purposes of re-search and conservation. Most scientists are familiar with simple random sampling, where sample units are selected from a population of interest (sampling frame) with equal probability. However, the goal of ecological surveys often is to make inferences about populations over large or complex spatial areas where organisms are not homogeneously distributed or sampling frames are in-convenient or impossible to construct. Candidate sampling strategies for such complex surveys include stratified,multistage, and adaptive sampling (Thompson 1992, Buckland 1994).
Suggested Citation
Stafford, J.D., Reinecke, K.J., and Kaminski, R.M., 2003, SAS procedures for designing and analyzing sample surveys: Bulletin of the Ecological Society of America, v. 84, no. 3, p. 111-114, https://doi.org/10.1890/0012-9623(2003)84[111:SPFDAA]2.0.CO;2.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | SAS procedures for designing and analyzing sample surveys |
| Series title | Bulletin of the Ecological Society of America |
| DOI | 10.1890/0012-9623(2003)84[111:SPFDAA]2.0.CO;2 |
| Volume | 84 |
| Issue | 3 |
| Year Published | 2003 |
| Language | English |
| Publisher | Ecological Society of America |
| Contributing office(s) | Patuxent Wildlife Research Center |
| Description | 4 p. |
| First page | 111 |
| Last page | 114 |