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A simple features object with the provinces in Spain and selected demographic and economic information.

Usage

data(provinces_spain)

Format

A simple features dataframe with 50 rows and 15 columns:

province

Names of provinces in Spain as factor

CCAA

Names of Autonomous Communities in Spain as factor

ID_INE

National Institute of Statistics unique identifier of the provinces

Population

Population in the province in 2020

Density

Population density in the province in persons/km^2

Older

Percentage of population 65 and older in the provice in 2020

Median_Age

Median age of population in the province in 2020

Mal2Fml

Ratio of male to female population in the province in 2020

GDPpc

GDP per capita in the province in 2016

Transit

Dummy variable for mass transit system in province; 1: YES

Area

Area of the province

Altitude

Altitude of the province

Coast

A dummy variable that indicates whether the province is in the coast; 1: YES

Meteo_Station

Identifier of meteorological station representative of the province used to retrieve climatic variables

geometry

geometry of the simple features object

Source

Instituto Nacional de Estadistica http://www.ine.es/

Climatic data: Agencia Estatal de Meteorologia http://www.aemet.es/

Páez et al. (2020)

References

  • Paez, A., Lopez, F.A., Menezes, T., Cavalcanti, R., & Pitta, M. (2020). A Spatio‐Temporal Analysis of the Environmental Correlates of COVID‐19 Incidence in Spain. Geographical Analysis. 53(3) 397-421

Examples

 data(provinces_spain)
 summary(provinces_spain)
#>              provinc                     CCAA        ID_INE     
#>  Albacete        : 1   Castilla y Leon     : 9   Min.   : 1.00  
#>  Alicante/Alacant: 1   Andalucia           : 8   1st Qu.:13.25  
#>  Almeria         : 1   Castilla - La Mancha: 5   Median :25.50  
#>  Araba/alava     : 1   Cataluña           : 4   Mean   :25.50  
#>  Asturias        : 1   Galicia             : 4   3rd Qu.:37.75  
#>  Avila           : 1   Aragon              : 3   Max.   :50.00  
#>  (Other)         :44   (Other)             :17                  
#>     Popultn           Density           Older          Medn_Ag     
#>  Min.   :  88636   Min.   :  8.60   Min.   :15.16   Min.   :40.19  
#>  1st Qu.: 337901   1st Qu.: 26.18   1st Qu.:18.09   1st Qu.:42.45  
#>  Median : 684202   Median : 63.50   Median :19.93   Median :43.70  
#>  Mean   : 974257   Mean   :140.04   Mean   :21.03   Mean   :44.55  
#>  3rd Qu.:1149460   3rd Qu.:171.64   3rd Qu.:23.03   3rd Qu.:46.00  
#>  Max.   :6663394   Max.   :829.76   Max.   :31.36   Max.   :50.68  
#>                                                                    
#>     Mal2Fml           GDPpc          Transit       Altitud           Coast     
#>  Min.   : 91.59   Min.   :16666   Min.   :0.0   Min.   :   5.0   Min.   :0.00  
#>  1st Qu.: 95.52   1st Qu.:18878   1st Qu.:0.0   1st Qu.:  24.5   1st Qu.:0.00  
#>  Median : 98.06   Median :20870   Median :0.0   Median : 215.5   Median :0.00  
#>  Mean   : 97.83   Mean   :22506   Mean   :0.1   Mean   : 369.0   Mean   :0.42  
#>  3rd Qu.:100.01   3rd Qu.:25835   3rd Qu.:0.0   3rd Qu.: 677.5   3rd Qu.:1.00  
#>  Max.   :103.01   Max.   :36001   Max.   :1.0   Max.   :1131.0   Max.   :1.00  
#>                                                                                
#>    Mt_Sttn               Area                    geometry 
#>  Length:50          Min.   :1.979e+09   MULTIPOLYGON :50  
#>  Class :character   1st Qu.:6.707e+09   epsg:4326    : 0  
#>  Mode  :character   Median :1.001e+10   +proj=long...: 0  
#>                     Mean   :1.012e+10                     
#>                     3rd Qu.:1.370e+10                     
#>                     Max.   :2.179e+10                     
#>