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	Provedor de dados ArchiMer (2) Autor Bru, Noëlle (2) Caill-milly, Nathalie (2) D’amico, Frank (2) Kermorvant, Claire (2) Coube, Sébastien (1) Robertson, Blair (1) Mais... Palavra-chave Accuracy (1) BAS (1) Cost-effectiveness (1) GRTS (1) LPM (1) Probabilistic sampling (1) Simulations (1) Spatially balanced (1) Survey (1) Survey optimization (1) Virtual ecology (1) Mais... Tipo do documento Text (2) Ano 2020 (1) 2019 (1) País France (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Spatially balanced sampling designs for environmental surveys ArchiMer 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 Sequential process to choose efficient sampling design based on partial prior information data and simulations ArchiMer Kermorvant, Claire; Coube, Sébastien; D’amico, Frank; Bru, Noëlle; Caill-milly, Nathalie. Issues on sampling procedure definition led numerous study results to be biased and object of controversy. Choosing relevant sampling design and number of samples is a difficult task when wanted to set up or optimize a survey. The survey design choice is very important to avoid bias and increase the survey cost-efficiency. It can have a strong effect on the sample size needed to achieve some targeted accuracy on results. And on the final cost of the procedure. The sequential process we expose here melt design based and model based sampling theories. Its objectives is helping practitioners defining a sampling design and a number of samples for their survey when inference to the whole population is wanted. The main idea is to mathematically reconstruct the... Tipo: Text Palavras-chave: Accuracy; Cost-effectiveness; Survey; Simulations; Survey optimization; Virtual ecology. Ano: 2020 URL: https://archimer.ifremer.fr/doc/00619/73140/72306.pdf Registros recuperados: 2 Primeira ... 1 ... Última

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