sc2sc {sc2sc}

Implements the geometric spatial transfer of statistics among Spanish census sections corresponding to two different spatial divisions

Description

Spatially transfers the statistics available in a set of Spanish census sections corresponding to the division into force in a given year to the census sections of another division with reference in another year.

Usage

sc2sc(
  x,
  year.sscc.origin,
  year.sscc.dest,
  data.type = "counts",
  all.units = FALSE,
  ...
)

Arguments

x

A data frame of order N x K (with K > 1) with the statistics to be spatially transferred/imputed. The first column must contains the codes of the census sections to which the statistics belong to. The statistical nature of the data columns must be of the same type. See the argument ⁠data.type'. ⁠

year.sscc.origin

An integer number. Reference year of the census sections included in the first column of x. Only 2001 and 2003 to 2023 are allowed.

year.sscc.dest

An integer number. Reference year of the census sections to which the statistics are going to be transferred. Only 2001 and 2003 to 2023 are allowed and it must be different than year.sscc.origin.

data.type

A character string indicating the type of data to be transferred, either "counts" (aggregate statistics) or "averages" (mean, proportion or rate statistics). Default "counts".

all.units

A TRUE/FALSE value indicating the census section units of the destination division to be included in the output data frame. If TRUE all the units of the destination division are included. If FALSE only those units for which a value is imputed are included. Default, FALSE.

...

Other arguments to be passed to the function. Not currently used.

Value

A list with the following components

df

A data frame with the statistics spatially transferred to the census sections corresponding to the year.sscc.dest division.

missing

A vector with the codes of the census sections included in x that are not available in the shp file of census sections corresponding to the year.sscc.origin division.

Note

The data that allows to transfer throughout time statistics among census sections has been own elaboration by the authors using the Spanish Digital Cartography Files in http://www.ine.es that contain the digitalisation of the georeferenced polygons of the census sections, according to UTM coordinates 28, 29, 30 and 31.

The Spanish Statistical Office (Instituto Nacional de Estadistica) had any involvement in preparing this package. They bear no responsibility on the results derived from using this package.

Author(s)

Jose M. Pavia, [e-mail]

Virgilio Perez, [e-mail]

References

Pavia, JM and Cantarino, I (2017a). Can dasymetric mapping significantly improve population data reallocation in a dense urban area? Geographical Analysis, 49(2), 155-174. doi:10.1111/gean.12112

Pavia, JM and Cantarino, I (2017b). Dasymetric distribution of votes in a dense city. Applied Geography, 86, 22-31. doi:10.1016/j.apgeog.2017.06.021

See Also

sc2cp cp2sc

Examples

data <- structure(list(SSCC = c(3403601001, 3403701001, 3403801001, 3403901001,
                                3404101001, 3404201001, 3404501001, 3404601001,
                                3404701001, 3404701002, 3404801001),
                       X15.19 = c(4L, 7L, 13L, 0L, 0L, 13L, 1L, 5L, 30L, 48L, 1L),
                       X20.24 = c(5L, 5L, 9L, 0L, 2L, 12L, 2L, 1L, 34L, 61L, 3L)),
                       row.names = 1:11, class = "data.frame")
example <- sc2sc(x = data, year.sscc.origin = 2020, year.sscc.dest = 2019)