This function merges the areas based on the merge settings created in the previous step. For details on how merges are assigned, see vignette("gat_tech_notes", package = "gatpkg").

mergeGATareas(ratevars, aggvars, idvar = "GATid", myshp)

Arguments

ratevars

A list of rate-related objects.

aggvars

A list of objects produced by the merging process.

idvar

The identifier variable for the original shapefile.

myshp

The original shapefile used in the merging process.

Examples

gatvars <- list(
  myidvar = "ID",             # character variable of unique values
  aggregator1 = "TOTAL_POP",  # numeric variable
  aggregator2 = "TOTAL_POP",  # numeric variable
  minvalue1 = 5000, minvalue2 = 5000,
  boundary = "COUNTY",        # character variable of non-unique values
  popwt = FALSE,
  rigidbound = FALSE,
  popvar = "Pop"
)

mergevars1 <- list( # similar merge
  mergeopt1 = "similar",    # can be similar, closest, or least
  similar1 = "AREAWATR",    # numeric variable
  similar2 = "AREALAND",    # numeric variable without any zeros
  centroid = "geographic"
)

mergevars2 <- list( # closest merge
  mergeopt1 = "closest",    # can be similar, closest, or least
  similar1 = "NONE",        # numeric variable
  similar2 = "NONE",        # numeric variable without any zeros
  centroid = "population-weighted"
)

# merge areas based on your settings
# this function identifies areas to merge; it does not merge them
my_merge <- defineGATmerge(
    area = hftown, pop = hfpop, progressbar = FALSE,
    gatvars = gatvars, mergevars = mergevars1)

# need all rate options if rate to be calculated
# for this example, rate is ignored
ratevars <- list(ratename = "no_rate")

# aggregate shapefile after identifying areas to merge
aggregatedshp <-
  mergeGATareas(
    ratevars = ratevars,
    aggvars = my_merge,      # results from the merge function
    idvar = gatvars$myidvar,
    myshp = hftown
  )