Análisis geoespacial con R, de la epidemia Covid19 en Chile por Región a nivel comunal.

Casos acumulados por 100.000 habitantes.

## Reading layer `comunas' from data source `C:\Users\usuario\Documents\GitHub\Analisis_covid19_con_R\analisis_21_mayo_SIR_GEO\shapes_de_chile\comunas.shp' using driver `ESRI Shapefile'
## Simple feature collection with 346 features and 11 fields
## geometry type:  MULTIPOLYGON
## dimension:      XY
## bbox:           xmin: -12184470 ymin: -7554436 xmax: -7393642 ymax: -1978920
## projected CRS:  WGS 84 / Pseudo-Mercator

## Reading layer `shp_comunas_ayp' from data source `C:\Users\usuario\Documents\GitHub\Analisis_covid19_con_R\analisis_21_mayo_SIR_GEO\shp_comunas_ayp.shp' using driver `ESRI Shapefile'
## Simple feature collection with 4 features and 11 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: -7834568 ymin: -2181956 xmax: -7671207 ymax: -1978920
## projected CRS:  WGS 84 / Pseudo-Mercator

## Reading layer `shp_comunas_tar' from data source `C:\Users\usuario\Documents\GitHub\Analisis_covid19_con_R\analisis_21_mayo_SIR_GEO\shp_comunas_tar.shp' using driver `ESRI Shapefile'
## Simple feature collection with 7 features and 11 fields
## geometry type:  MULTIPOLYGON
## dimension:      XY
## bbox:           xmin: -7823439 ymin: -2467185 xmax: -7614795 ymax: -2147481
## projected CRS:  WGS 84 / Pseudo-Mercator

## Reading layer `shp_comunas_ant' from data source `C:\Users\usuario\Documents\GitHub\Analisis_covid19_con_R\analisis_21_mayo_SIR_GEO\shp_comunas_ant.shp' using driver `ESRI Shapefile'
## Simple feature collection with 9 features and 11 fields
## geometry type:  MULTIPOLYGON
## dimension:      XY
## bbox:           xmin: -7874732 ymin: -3006724 xmax: -7457313 ymax: -2384075
## projected CRS:  WGS 84 / Pseudo-Mercator

## Reading layer `shp_comunas_ata' from data source `C:\Users\usuario\Documents\GitHub\Analisis_covid19_con_R\analisis_21_mayo_SIR_GEO\shp_comunas_ata.shp' using driver `ESRI Shapefile'
## Simple feature collection with 9 features and 11 fields
## geometry type:  MULTIPOLYGON
## dimension:      XY
## bbox:           xmin: -7962196 ymin: -3443937 xmax: -7599012 ymax: -2910895
## projected CRS:  WGS 84 / Pseudo-Mercator

## Reading layer `shp_comunas_coq' from data source `C:\Users\usuario\Documents\GitHub\Analisis_covid19_con_R\analisis_21_mayo_SIR_GEO\shp_comunas_coq.shp' using driver `ESRI Shapefile'
## Simple feature collection with 15 features and 11 fields
## geometry type:  MULTIPOLYGON
## dimension:      XY
## bbox:           xmin: -7983551 ymin: -3800405 xmax: -7771113 ymax: -3380445
## projected CRS:  WGS 84 / Pseudo-Mercator

## Reading layer `shp_comunas_val' from data source `C:\Users\usuario\Documents\GitHub\Analisis_covid19_con_R\analisis_21_mayo_SIR_GEO\shp_comunas_val.shp' using driver `ESRI Shapefile'
## Simple feature collection with 38 features and 11 fields
## geometry type:  MULTIPOLYGON
## dimension:      XY
## bbox:           xmin: -12184470 ymin: -4022904 xmax: -7791133 ymax: -3034575
## projected CRS:  WGS 84 / Pseudo-Mercator

## Reading layer `shp_comunas_met' from data source `C:\Users\usuario\Documents\GitHub\Analisis_covid19_con_R\analisis_21_mayo_SIR_GEO\shp_comunas_met.shp' using driver `ESRI Shapefile'
## Simple feature collection with 52 features and 11 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: -7983221 ymin: -4067899 xmax: -7766718 ymax: -3885019
## projected CRS:  WGS 84 / Pseudo-Mercator

## Reading layer `shp_comunas_lbo' from data source `C:\Users\usuario\Documents\GitHub\Analisis_covid19_con_R\analisis_21_mayo_SIR_GEO\shp_comunas_lbo.shp' using driver `ESRI Shapefile'
## Simple feature collection with 33 features and 11 fields
## geometry type:  MULTIPOLYGON
## dimension:      XY
## bbox:           xmin: -8021266 ymin: -4164620 xmax: -7793384 ymax: -4008755
## projected CRS:  WGS 84 / Pseudo-Mercator

## Reading layer `shp_comunas_mau' from data source `C:\Users\usuario\Documents\GitHub\Analisis_covid19_con_R\analisis_21_mayo_SIR_GEO\shp_comunas_mau.shp' using driver `ESRI Shapefile'
## Simple feature collection with 30 features and 11 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: -8102489 ymin: -4375675 xmax: -7827068 ymax: -4121098
## projected CRS:  WGS 84 / Pseudo-Mercator

## Reading layer `shp_comunas_nub' from data source `C:\Users\usuario\Documents\GitHub\Analisis_covid19_con_R\analisis_21_mayo_SIR_GEO\shp_comunas_nub.shp' using driver `ESRI Shapefile'
## Simple feature collection with 21 features and 11 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: -8113455 ymin: -4466689 xmax: -7904497 ymax: -4301386
## projected CRS:  WGS 84 / Pseudo-Mercator

## Reading layer `shp_comunas_bio' from data source `C:\Users\usuario\Documents\GitHub\Analisis_covid19_con_R\analisis_21_mayo_SIR_GEO\shp_comunas_bio.shp' using driver `ESRI Shapefile'
## Simple feature collection with 33 features and 11 fields
## geometry type:  MULTIPOLYGON
## dimension:      XY
## bbox:           xmin: -8233350 ymin: -4649230 xmax: -7901822 ymax: -4361787
## projected CRS:  WGS 84 / Pseudo-Mercator