diff --git a/R/utils.R b/R/utils.R index 2df2aa3..f6c2886 100644 --- a/R/utils.R +++ b/R/utils.R @@ -299,7 +299,7 @@ as_dot_density <- function( } -#' Use population-weighted interpolation to transfer information from one set of shapes to another +#' Use population-weighted areal interpolation to transfer information from one set of shapes to another #' #' A common use-case when working with time-series small-area Census data is to transfer data from one set of shapes (e.g. 2010 Census tracts) to another set of shapes (e.g. 2020 Census tracts). Population-weighted interpolation is one such solution to this problem that takes into account the distribution of the population within a Census unit to intelligently transfer data between incongruent units. #' diff --git a/man/interpolate_pw.Rd b/man/interpolate_pw.Rd index ad0abce..74c462c 100644 --- a/man/interpolate_pw.Rd +++ b/man/interpolate_pw.Rd @@ -2,7 +2,7 @@ % Please edit documentation in R/utils.R \name{interpolate_pw} \alias{interpolate_pw} -\title{Use population-weighted interpolation to transfer information from one set of shapes to another} +\title{Use population-weighted areal interpolation to transfer information from one set of shapes to another} \usage{ interpolate_pw( from,