gridsample: Tools for Grid-Based Survey Sampling Design
Version 0.2.0

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 However, if census data are outdated inaccurate, or too geographically course, gridded population data (such as ) can be used as a sample frame instead.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.

AuthorDana R. Thomson (University of Southampton), Nick W. Ruktanonchai (University of Southampton), Forrest R. Stevens (University of Louisville), Marcia Castro (Harvard University), Andrew J. Tatem (University of Southampton)
Date of publication2017-04-09 21:01:00 UTC
MaintainerNick Ruktanonchai <nrukt00@gmail.com>
LicenseMIT + file LICENSE
Version0.2.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("gridsample")

Getting started

README.md
Recreating the 2010 Rwanda DHS using GridSample"

Popular man pages

gs_mode: Most common stratum calculator
gs_rasterize: Rasterize polygon layer
gs_sample: GridSample sampling algorithm
gs_zonal_raster: Zonal statistics calculator
RWAshp: First-level administrative units for Rwanda
See all...

All man pages Function index File listing

Man pages

gs_mode: Most common stratum calculator
gs_rasterize: Rasterize polygon layer
gs_sample: GridSample sampling algorithm
gs_zonal_raster: Zonal statistics calculator
RWAshp: First-level administrative units for Rwanda

Functions

RWAshp Man page
gs_mode Man page Source code
gs_rasterize Man page Source code
gs_sample Man page Source code
gs_zonal_raster Man page Source code

Files

inst
inst/doc
inst/doc/Rwanda.Rmd
inst/doc/Rwanda.html
NAMESPACE
NEWS
data
data/RWAshp.rda
R
R/gs_rasterize.r
R/data.R
R/gs_mode.r
R/gs_zonal_raster.r
R/gs_sample.r
vignettes
vignettes/Rwanda.Rmd
README.md
MD5
build
build/vignette.rds
DESCRIPTION
man
man/gs_zonal_raster.Rd
man/RWAshp.Rd
man/gs_mode.Rd
man/gs_sample.Rd
man/gs_rasterize.Rd
LICENSE
gridsample documentation built on May 19, 2017, 8:45 p.m.

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