poly2poly_ap {SUNGEO} | R Documentation |
Area and population weighted polygon-to-polygon interpolation
Description
Function for interpolating values from a source polygon layer to an overlapping (but spatially misaligned) destination polygon layer, using area and/or population weights.
Usage
poly2poly_ap(
poly_from,
poly_to,
poly_to_id,
geo_vor = NULL,
methodz = "aw",
char_methodz = "aw",
pop_raster = NULL,
varz = NULL,
pycno_varz = NULL,
char_varz = NULL,
char_assign = "biggest_overlap",
funz = function(x, w) {
stats::weighted.mean(x, w, na.rm = TRUE)
},
seed = 1
)
Arguments
poly_from |
Source polygon layer. |
poly_to |
Destination polygon layer. Must have identical CRS to |
poly_to_id |
Name of unique ID column for destination polygon layer. Character string. |
geo_vor |
Voronoi polygons object (used internally by |
methodz |
Area interpolation method(s). Could be either of "aw" (areal weighting, default) and/or "pw" (population weighting). See "details". Character string or vector of character strings. |
char_methodz |
Interpolation method(s) for character strings. Could be either of "aw" (areal weighting, default) or "pw" (population weighting). See "details". Character string. |
pop_raster |
Population raster to be used for population weighting, Must be supplied if |
varz |
Names of numeric variable(s) to be interpolated from source polygon layer to destination polygons. Character string or vector of character strings. |
pycno_varz |
Names of spatially extensive numeric variables for which the pycnophylactic (mass-preserving) property should be preserved. Character string or vector of character strings. |
char_varz |
Names of character string variables to be interpolated from source polygon layer to destination polygons. Character string or vector of character strings. |
char_assign |
Assignment rule to be used for variables specified in |
funz |
Aggregation function to be applied to variables specified in |
seed |
Seed for generation of random numbers. Default is 1. Numeric. |
Details
Currently supported integration methods (methodz
) include:
Areal weighting ("aw"). Values from
poly_from
weighted in proportion to relative area of spatial overlap between source features and geometries ofpoly_to
.Population weighting ("pw"). Values from
poly_from
weighted in proportion to relative population sizes in areas of spatial overlap between source features and geometries ofpoly_to
. This routine uses a third layer (supplied inpop_raster
) to calculate the weights.
It is possible to pass multiple arguments to methodz
(e.g. methodz=c("aw","pw")
), in which case the function will calculate both sets of weights, and append the resulting columns to the output.
Interpolation procedures are handled somewhat differently for numeric and character string variables. For numeric variables supplied in varz
, "aw" and/or "pw" weights are passed to the function specified in funz
. If different sets of numeric variables are to be aggregated with different functions, both varz
and funz
should be specified as lists (see examples below).
For character string (and any other) variables supplied in char_varz
, "aw" and/or "pw" weights are passed to the assignment rule(s) specified in char_assign
. Note that the char_varz
argument may include numerical variables, but varz
cannot include character string variables.
Currently supported assignment rules for character strings (char_assign
) include:
"biggest_overlap". For each variable in
char_varz
, the features inpoly_to
are assigned a single value from overlappingpoly_from
features, corresponding to the intersection with largest area and/or population weight."all_overlap". For each variable in
char_varz
, the features inpoly_to
are assigned all values from overlappingpoly_from
features, ranked by area and/or population weights (largest-to-smallest) of intersections.
It is possible to pass multiple arguments to char_assign
(e.g. char_assign=c("biggest_overlap","all_overlap")
), in which case the function will calculate both, and append the resulting columns to the output.
Value
sf
polygon object, with variables from poly_from
interpolated to the geometries of poly_to
.
Examples
# Interpolation of a single variable, with area weights
## Not run:
data(clea_deu2009)
data(hex_05_deu)
out_1 <- poly2poly_ap(poly_from = clea_deu2009,
poly_to = hex_05_deu,
poly_to_id = "HEX_ID",
varz = "to1"
)
## End(Not run)
# Interpolation of multiple variables, with area weights
## Not run:
out_2 <- poly2poly_ap(
poly_from = clea_deu2009,
poly_to = hex_05_deu,
poly_to_id = "HEX_ID",
varz = list(
c("to1","pvs1_margin"),
c("vv1") ),
pycno_varz = "vv1",
funz = list(
function(x,w){stats::weighted.mean(x,w)},
function(x,w){sum(x*w)} ),
char_varz = c("incumb_pty_n","win1_pty_n")
)
## End(Not run)
# Interpolation of a single variable, with population weights
## Not run:
data(gpw4_deu2010)
out_3 <- poly2poly_ap(poly_from = clea_deu2009,
poly_to = hex_05_deu,
poly_to_id = "HEX_ID",
varz = "to1",
methodz = "pw",
pop_raster = gpw4_deu2010)
## End(Not run)
# Interpolation of a single variable, with area and population weights
## Not run:
out_4 <- poly2poly_ap(poly_from = clea_deu2009,
poly_to = hex_05_deu,
poly_to_id = "HEX_ID",
varz = "to1",
methodz = c("aw","pw"),
pop_raster = gpw4_deu2010)
## End(Not run)