Spatial Spread Sampling Using Weakly Associated Vectors

@article{Jauslin2019SpatialSS,
  title={Spatial Spread Sampling Using Weakly Associated Vectors},
  author={Raphael Jauslin and Y. Till{\'e}},
  journal={Journal of Agricultural, Biological and Environmental Statistics},
  year={2019},
  volume={25},
  pages={431-451}
}
  • Raphael Jauslin, Y. Tillé
  • Published 2019
  • Mathematics
  • Journal of Agricultural, Biological and Environmental Statistics
  • Geographical data are generally autocorrelated. In this case, it is preferable to select spread units. In this paper, we propose a new method for selecting well-spread samples from a finite spatial population with equal or unequal inclusion probabilities. The proposed method is based on the definition of a spatial structure by using a stratification matrix. Our method exactly satisfies given inclusion probabilities and provides samples that are very well spread. A set of simulations shows that… CONTINUE READING

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