Laddar...
A Spatio-Temporally Explicit Random Encounter Model for Large-Scale Population Surveys
Random encounter models can be used to estimate population abundance from indirect data collected by non-invasive sampling methods, such as track counts or camera-trap data. The classical Formozov–Malyshev–Pereleshin (FMP) estimator converts track counts into an estimate of mean population density,...
Sparad:
| I publikationen: | PLoS One |
|---|---|
| Huvudupphovsmän: | , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Public Library of Science
2016
|
| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5017679/ https://ncbi.nlm.nih.gov/pubmed/27611683 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0162447 |
| Taggar: |
Lägg till en tagg
Inga taggar, Lägg till första taggen!
|