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عمومی::
دادههای سرشماری
Surveys are typically selected from recent census data; however, census data are often outdated or inaccurate.
Gridded population sampling is a promising alternative to typical census-based sampling when census data are moderately outdated or inaccurate.
Household surveys are particularly important in countries where census data, or other forms of official data such as birth and death registries, are outdated, incomplete or inaccurate.
Where census data are not available, outdated, or known to be unreliable, individual survey teams have begun to experiment with gridded population sampling as an alternative [6, 7, 8, 9, 10, 11], and organizations that fund routine surveys are beginning to recommend gridded population datasets as alternative sample frames [12].
This paper (1) describes how gridded population datasets have been used as alternative sample frames to outdated or inaccurate census data, (2) introduces GridSample [13], an R package, for the first-stage selection of complex household surveys using gridded population data, and (3) summarizes options to implement gridded population samples in the field.
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