gridsample

Tools for Grid-Based Survey Sampling Design

Multi-stage cluster surveys of households are commonly performed by governments and programmes to monitor population-level demographic, social, economic, and health outcomes. Generally, communities are sampled from subpopulations (strata) in a first stage, and then households are listed and sampled in a second stage. In this typical two-stage design, sampled communities are the Primary Sampling Units (PSUs) and households are the Secondary Sampling Units (SSUs). Census data typically serve as the sample frame from which PSUs are selected. However, if census data are outdated inaccurate, or too geographically course, gridded population data (such as <http://www.worldpop.org.uk>) can be used as a sample frame instead. GridSample (<doi:10.1186/s12942-017-0098-4>) generates PSUs from gridded population data according to user-specified complex survey design characteristics and household sample size. In gridded population sampling, like census sampling, PSUs are selected within each stratum using a serpentine sampling method, and can be oversampled in urban or rural areas to ensure a minimum sample size in each of these important sub-domains. Furthermore, because grid cells are uniform in size and shape, gridded population sampling allows for samples to be representative of both the population and of space, which is not possible with a census sample frame.

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Description file content

Package
gridsample
Title
Tools for Grid-Based Survey Sampling Design
Version
0.2.1
Description
Multi-stage cluster surveys of households are commonly performed by governments and programmes to monitor population-level demographic, social, economic, and health outcomes. Generally, communities are sampled from subpopulations (strata) in a first stage, and then households are listed and sampled in a second stage. In this typical two-stage design, sampled communities are the Primary Sampling Units (PSUs) and households are the Secondary Sampling Units (SSUs). Census data typically serve as the sample frame from which PSUs are selected. However, if census data are outdated inaccurate, or too geographically course, gridded population data (such as ) can be used as a sample frame instead. GridSample () generates PSUs from gridded population data according to user-specified complex survey design characteristics and household sample size. In gridded population sampling, like census sampling, PSUs are selected within each stratum using a serpentine sampling method, and can be oversampled in urban or rural areas to ensure a minimum sample size in each of these important sub-domains. Furthermore, because grid cells are uniform in size and shape, gridded population sampling allows for samples to be representative of both the population and of space, which is not possible with a census sample frame.
Depends
R (>= 3.2.3)
License
MIT + file LICENSE
Encoding
UTF-8
LazyData
true
Imports
rgdal (>= 1.2-4), raster (>= 2.5-8), data.table (>= 1.10.4), rgeos (>= 0.3-21), geosphere (>= 1.5-5), sp (>= 1.2-4), spatstat (>= 1.49-0), methods, maptools (>= 0.8-41), spatstat.utils
RoxygenNote
6.1.0
Suggests
knitr, rmarkdown
VignetteBuilder
knitr
NeedsCompilation
no
Packaged
2018-08-07 13:12:06 UTC; nr1e14
Repository
CRAN
Date/Publication
2018-08-07 13:50:03 UTC
Author
Dana R. Thomson [aut] (University of Southampton), Nick Ruktanonchai [cre] (University of Southampton), Forrest R. Stevens [aut] (University of Louisville), Marcia Castro [aut] (Harvard University), Andrew J. Tatem [aut] (University of Southampton), Guilherme A. Zagatti [ctb] (Flowminder)
Maintainer
Nick Ruktanonchai

install.packages('gridsample')

0.2.1

10 days ago

Nick Ruktanonchai

MIT + file LICENSE

Depends on

R (>= 3.2.3)

Imports

rgdal (>= 1.2-4), raster (>= 2.5-8), data.table (>= 1.10.4), rgeos (>= 0.3-21), geosphere (>= 1.5-5), sp (>= 1.2-4), spatstat (>= 1.49-0), methods, maptools (>= 0.8-41), spatstat.utils

Suggests

knitr, rmarkdown

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