covid: Daily COVID count data (in 'tsibble') and Victoria LGA (in...

In cubble: A Vector Spatio-Temporal Data Structure for Data Analysis

Daily COVID count data (in tsibble) and Victoria LGA (in sf)

Description

Daily COVID count data (covid) from 2022-01-01 to 2020-03-23 in a tsibble object (date, lga, n, and avg_7day). Victoria Local Government Area (LGA) spatial geometry in an sf object (lga_name_2018 and geometry)

Usage

covid

lga

Format

An object of class tbl_ts (inherits from tbl_df, tbl, data.frame) with 6806 rows and 4 columns.

An object of class sf (inherits from data.frame) with 80 rows and 2 columns.

Details

date

date object, from 2022-01-01 to 2020-03-23

lga

Victoria Local Government Area (LGA) in Australia

n

COVID-19 case count

avg_7day

rolling mean of n in a 7 day window. Calculate with mutate(avg_7day = slider::slide_dbl(n, mean, .before = 6))

lga_name_2018

LGA encoding by Australia Bureau of Statistics, slightly differ from the encoding used by the Department of Health in the covid data

geometry

multipolygon geometry of each LGA

Examples

library(sf)
library(dplyr)
# prompt msg on the key mismatch between the two datasets
make_cubble(lga, covid, by = c("lga_name_2018" = "lga"))
check_res <- check_key(lga, covid, by = c("lga_name_2018" = "lga"))

# fix mismatch
lga2 <- lga |>
  rename(lga = lga_name_2018) |>
  mutate(lga = ifelse(lga == "Kingston (C) (Vic.)", "Kingston (C)", lga),
         lga = ifelse(lga == "Latrobe (C) (Vic.)", "Latrobe (C)", lga)) |>
  filter(!lga %in% check_res$others$spatial)
covid2 <- covid |> filter(!lga %in% check_res$others$temporal)

make_cubble(spatial = lga2, temporal = covid2)

cubble documentation built on Sept. 11, 2024, 7:19 p.m.