Brazilian States COVID-19 Cases

library(coronavirusbrazil)

data("spatial_br_states")
head(spatial_br_states)
#>   id     name uf codigo   regiao              geometry       date cases deaths
#> 1 AC     Acre AC     12    Norte -70.470805, -9.213489 2020-04-12    77      2
#> 2 AL  Alagoas AL     27 Nordeste -36.622412, -9.514914 2020-04-12    48      3
#> 3 AM Amazonas AM     13    Norte -64.652360, -4.153635 2020-04-12  1206     62
#> 4 AP    Amapá AP     16    Norte  -51.955126, 1.443783 2020-04-12   230      5
#> 5 BA    Bahia BA     29 Nordeste  -41.72199, -12.47407 2020-04-12   673     21
#> 6 CE    Ceará CE     23 Nordeste -39.617645, -5.090845 2020-04-12  1676     74
#>   new_cases new_deaths death_rate percent_case_increase percent_death_increase
#> 1         5          0 0.02597403              6.944444                0.00000
#> 2         0          0 0.06250000              0.000000                0.00000
#> 3       156          9 0.05140962             14.857143               16.98113
#> 4        37          2 0.02173913             19.170984               66.66667
#> 5        38          0 0.03120357              5.984252                0.00000
#> 6        94          7 0.04415274              5.941846               10.44776
#>   log_cases log_deaths
#> 1  1.886491  0.3010300
#> 2  1.681241  0.4771213
#> 3  3.081347  1.7923917
#> 4  2.361728  0.6989700
#> 5  2.828015  1.3222193
#> 6  3.224274  1.8692317
mapview::mapview(spatial_br_states, 
                 map = leaflet::leaflet() %>% leaflet::addTiles(),
                 zcol="cases", cex="log_cases",
                 layer.name="Casos",
                 label=paste0(spatial_br_states$uf, ": ", spatial_br_states$cases))

Brazilian Cities COVID-19 Cases

data("spatial_br_cities")
head(spatial_br_cities)
#> Simple feature collection with 6 features and 6 fields
#> geometry type:  POINT
#> dimension:      XY
#> bbox:           xmin: -66.8972 ymin: -19.1551 xmax: -34.8984 ymax: -1.72183
#> CRS:            NA
#>         date         city cases deaths                  geometry log_cases
#> 1 2020-04-12       Abaeté     1      0 POINT (-45.4444 -19.1551) 0.0000000
#> 2 2020-04-10   Abaetetuba     2      0 POINT (-48.8788 -1.72183) 0.3010300
#> 3 2020-04-12 Abreu e Lima    10      0 POINT (-34.8984 -7.90072) 1.0000000
#> 4 2020-04-11   Açailândia     1      0 POINT (-47.5004 -4.94714) 0.0000000
#> 5 2020-04-11   Acrelândia     9      0 POINT (-66.8972 -9.82581) 0.9542425
#> 6 2020-04-12          Açu     8      0  POINT (-36.914 -5.58362) 0.9030900
#>   log_deaths
#> 1       -Inf
#> 2       -Inf
#> 3       -Inf
#> 4       -Inf
#> 5       -Inf
#> 6       -Inf
mapview::mapview(spatial_br_cities, 
                 map = leaflet::leaflet() %>% leaflet::addTiles(),
                 zcol="cases", cex="log_cases", 
                 layer.name="Casos",
                 label=paste0(spatial_br_cities$city, ": ", spatial_br_cities$cases))