|
|
| Kermorvant, Claire; D’amico, Frank; Bru, Noëlle; Caill-milly, Nathalie; Robertson, Blair. |
| Some environmental studies use non-probabilistic sampling designs to draw samples from spatially distributed populations. Unfortunately, these samples can be difficult to analyse statistically and can give biased estimates of population characteristics. Spatially balanced sampling designs are probabilistic designs that spread the sampling effort evenly over the resource. These designs are particularly useful for environmental sampling because they produce good-sample coverage over the resource, they have precise design-based estimators and they can potentially reduce the sampling cost. The most popular spatially balanced design is Generalized Random Tessellation Stratified (GRTS), which has many desirable features including a spatially balanced sample,... |
| Tipo: Text |
Palavras-chave: BAS; GRTS; LPM; Probabilistic sampling; Spatially balanced. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00509/62063/66268.pdf |
| |
