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  "Title": "Weakly Associated Vectors (WAVE) Sampling",
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  "Authors@R": "c(\nperson(\"Raphaël\", \"Jauslin\", email = \"raphael.jauslin@bfs.admin.ch\",role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-1088-3356\")\n),\nperson(\"Yves\", \"Tillé\",role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0003-0904-5523\"))\n)",
  "Description": "Spatial data are generally auto-correlated, meaning that\nif two units selected are close to each other, then it is\nlikely that they share the same properties. For this reason,\nwhen sampling in the population it is often needed that the\nsample is well spread over space. A new method to draw a sample\nfrom a population with spatial coordinates is proposed. This\nmethod is called wave (Weakly Associated Vectors) sampling. It\nuses the less correlated vector to a spatial weights matrix to\nupdate the inclusion probabilities vector into a sample. For\nmore details see Raphaël Jauslin and Yves Tillé (2019)\n<doi:10.1007/s13253-020-00407-1>.",
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