stplanr (version 0.1.8)

sp_aggregate: Aggregate SpatialPolygonsDataFrame to new geometry.

Description

Aggregate SpatialPolygonsDataFrame to new geometry.

Usage

sp_aggregate(zones, aggzones, cols = FALSE, FUN = sum,
  prop_by_area = ifelse(identical(FUN, mean) == FALSE, TRUE, FALSE),
  digits = getOption("digits"))

Arguments

zones

A SpatialPolygonsDataFrame or SpatialPointsDataFrame representing the original centroids or boundaries. Note that in the case of a SpatialPointsDataFrame, the original value will be allocated to the polygon in which the point is located rather than being distributed by area.

aggzones

A SpatialPolygonsDataFrame containing the new boundaries to aggregate to.

cols

A character vector containing the names of columns on which to apply FUN. By default, all numeric columns are aggregated.

FUN

Function to use on aggregation. Default is sum.

prop_by_area

Boolean value indicating if the values should be proportionally adjusted based on area. Default is TRUE unless FUN = mean.

digits

The number of digits to use when proportionally adjusting values based on area. Default is the value of getOption("digits").

Value

SpatialPolygonsDataFrame

Details

This function performs aggregation on a SpatialPolygonsDataFrame to a different geometry specified by another SpatialPolygons object.

Examples

# NOT RUN {
data(flow)
data(zones)
zones@data$region <- 1
zones@data[c(2, 5), c('region')] <- 2
aggzones <- SpatialPolygonsDataFrame(rgeos::gUnaryUnion(
 zones,
 id = zones@data$region), data.frame(region=c(1, 2))
)
zones@data$region <- NULL
zones@data$exdata <- 5
sp_aggregate(zones, aggzones)
# }