|
Research@StAndrews:FullText >
Research Centres and Institutes >
Centre for Research into Ecological & Environmental Modelling (CREEM) >
Centre for Research into Ecological & Environmental Modelling (CREEM) Technical report series >
Centre for Research into Ecological & Environmental Modelling (CREEM) Technical report series >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10023/629
| Title: | Point and interval estimates of abundance using multiple covariate distance sampling: an example using great bustards. |
| Authors: | Rexstad, Eric |
| Keywords: | multiple covariate distance sampling
bootstrap
program Distance
estimation of population size
density |
| Issue Date: | 2007 |
| Citation: | CREEM technical report ; 2007-02 |
| Abstract: | Description of computations to produce sex-specific estimates of density from a multiple-covariate distance sampling analysis. Program Distance 5.0 has limited capacity to bootstrap certain types of analytical situations (e.g., cluster size as a covariate). Herein I describe steps and code to perform an analysis of this sort. Possible ways to adapt this code for similar analyses are described. |
| Version: | Postprint |
| Description: | Previously in the University eprints HAIRST pilot service at http://eprints.st-andrews.ac.uk/archive/00000447/
The pdf file contains the tech report, the ASCII (.R) file contains the accompanying R code. |
| URI: | http://hdl.handle.net/10023/629 |
| Type: | Report |
| Publication Status: | Not published |
| Status: | Non peer reviewed |
| Publisher: | CREEM, University of St Andrews |
| Appears in Collections: | Centre for Research into Ecological & Environmental Modelling (CREEM) Technical report series
|
This item is protected by original copyright
|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
|
