Spatially correlated Poisson sampling
By Anton Grafström. 2012
105 citations recorded by the source corpus.
Subfields: Statistics and Probability, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/84bad680ebd4b2788d3faa4358a6472fdb031b62
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- Anton Grafström
- Niklas L. P. Lundström
- Yves Tillé
- Diego Giuliani
- Giuseppe Espa
- Maria Michela Dickson
- Lina Schelin
In Water Science and Technology
- Niklas L. P. Lundström
- Yves Tillé
- Anton Grafström
- Diego Giuliani
- Giuseppe Espa
- Maria Michela Dickson
- Lina Schelin
Citations in the corpus
- Measuring the spatial balance of a sample: A new measure based on the Moran's I index (2017, background): “…units that are well spread in space, or say the spatially balanced samples, tend to provide relatively more efficient estimates of the population Preprint submitted to arXiv.org April 30, 2018 mean or total (see, among others, Grafström et al., 2012; Grafström, 2012; Grafström and Tillé, 2013).”
- Why Well Spread Probability Samples Are Balanced (2013, methodology): “Another method, spatially correlated Poisson sampling (SCPS) was first described in [6] and it is a special case of the method introduced in [7].”
- Doubly balanced spatial sampling with spreading and restitution of auxiliary totals (2013, background): “Grafström (2012) and Grafström et al. (2012) introduced new sampling methods that enable to select unequal probability samples that are well spread over the population.”