Small Area Population Estimation by Demographics


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Documentation for package ‘jollofR’ version 0.6.4

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boxLine boxLine: Produces two graphs - boxplots of disaggregated population counts across groups and a line plot showing the distribution of the aggregated totals of the disaggregated counts
cheesecake cheesecake: Population disaggregation by two-level demographic groups (eg., age and sex), with covariates
cheesepop cheesepop: Population disaggregation by two-level demographic groups (eg., age and sex), without covariates
plotHist plotHist: Produces histogram of the disaggregated population counts across all groups
plotRast plotRast: Produces multi-panel maps of the raster files of the grid-cell disaggregated structured population counts
pyramid pyramid: Produces population pyramid (graphs) of demographics (for cheesecake and cheesepop age-sex output data)
slices slices: Disaggregating population counts for a single level of demographics (e.g., age groups only or sex group only) - without covariates Please use 'spices' if you want covariates included.
spices spices: Disaggregates population counts for a single level of demographics (e.g., age groups only or sex group only) with covariates.
splash splash: Disaggregates population counts at high-resolution grid cells using building counts values of grid cells as a weighting layer. It is used for two-level disaggregation (e.g., age and sex).
splash1 splash1: Disaggregates population counts at high-resolution grid cells using building counts values of grid cells as a weighting layer. However, unlike 'splash' it is used for one-level disaggregation
spray Spray: Disaggregates population counts by dividing the admin total by the number of grid cells within the administrative units. Then admin proportions are used to further disaggregate the grid cell totals by groups
spray1 spray1: Disaggregates population counts at high-resolution grid cells in the absence population and building counts - for one-level only
sprinkle sprinkle: Disaggregates population counts at high-resolution grid cells using the grid cell's total population counts. Note that this could also be applied to more than two levels scenarios
sprinkle1 sprinkle1: Disaggregates population counts at high-resolution grid cells using the grid's total population. This can also be applied to one-level disaggregation
toydata A list object containing two dataframes - an administrative-level dataset (admin) containing partially observed age-sex structured data, and a grid-cell level dataset (grid) for population disaggregation at 1km by 1km grid cells.