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Areal-weighted interpolation of polygon data
st_interpolate_aw(x, to, extensive)
object of class sf
, for which we want to aggregate attributes
object of class sf
or sfc
, with the target geometries
logical; if TRUE, the attribute variables are assumed to be spatially extensive (like population) and the sum is preserved, otherwise, spatially intensive (like population density) and the mean is preserved.
# NOT RUN {
nc = st_read(system.file("shape/nc.shp", package="sf"))
g = st_make_grid(nc, n = c(20,10))
a1 = st_interpolate_aw(nc["BIR74"], g, extensive = FALSE)
sum(a1$BIR74) / sum(nc$BIR74) # not close to one: property is assumed spatially intensive
a2 = st_interpolate_aw(nc["BIR74"], g, extensive = TRUE)
sum(a2$BIR74) / sum(nc$BIR74)
a1$intensive = a1$BIR74
a1$extensive = a2$BIR74
plot(a1[c("intensive", "extensive")])
# }
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