regions {CvmortalityMult}

regions

Description

Data from the Spanish region of Spain which are provided to plot an indicator. This dataset contains a plot with the information of Spain regions (geometry and name of every region).

Usage

regions

Format

A data frame with 600 rows and 9 columns with class "SpainRegionsData" including the following information

• Codigo a vector containing the code of every region of Spain.

• Texto a vector containing the name of every region of Spain.

• Texto_Alt a vector containing the long name of every region of Spain.

• Ii a vector containing a possible value of one indicator to be shown.

• geometry the dimension of every region of Spain. This vector allows to plot the regions of Spain.

Value

a plot with the Spain regions colored by the indicator provided.

References

Spanish National Institute of Statistics (INE) (2023). Tablas de mortalidad, metodologia. Technical report, Instituto Nacional de Estadistica

Examples

#The example takes more than 5 seconds because it includes
#several fitting and forecasting process and hence all
#the process is included in donttest

#In this case, we show the region dataset applying it to a multipopulation model.
#First, we present the dataset

regions

ages <- c(0, 1, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90)

#Then, we fit the multiplicative model
library(gnm)
multiplicative_Spainmales <- fitLCmulti(model = "multiplicative",
                                        qxt = SpainRegions$qx_male,
                                        periods = c(1991:2020),
                                        ages = c(ages),
                                        nPop = 18,
                                        lxt = SpainRegions$lx_male)

multiplicative_Spainmales

#To show the values of the population indicator in the Spanish map.
SpainMap(regionvalue = multiplicative_Spainmales$Ii[2:18],
         main = c("Multiplicative for males"),
         name = c("Ii"))