# Load data
library("sf")
data("dengue_MS")
data("map_MS")
plots <- plot_multiple(
plot_function = plot_timeseries,
data = dengue_MS,
var = c("dengue_cases", "dengue_cases", "tmax"),
type = c("counts", "inc", "cov"),
pop = "population",
var_label = c("Dengue Cases", "Dengue inc", "Max Temp"),
palette = c("blue", "red", "darkgreen"),
time = "date",
area = "micro_code",
facet = TRUE)
# Acess individual plots
print(plots[[1]])
# Multiple heatmap plots
plots <- plot_multiple(
plot_function = plot_heatmap,
data = dengue_MS,
var = c("dengue_cases", "dengue_cases", "tmax"),
type = c("counts", "inc", "cov"),
pop = "population",
var_label = c("Dengue Cases", "Dengue inc", "Max Temp"),
palette = c("Blues", "Reds", "BrBG"),
time = "date",
area = "micro_code")
# Multiple seasonality plots
plots <- plot_multiple(
plot_function = plot_seasonality,
data = dengue_MS,
var = c("dengue_cases", "dengue_cases", "tmax"),
type = c("counts", "inc", "cov"),
pop = "population",
var_label = c("Dengue Cases", "Dengue inc", "Max Temp"),
palette = c("Blues", "Reds", "BrBG"),
time = "date",
area = "micro_code")
# Multiple map plots
plots <- plot_multiple(
plot_function = plot_map,
data = dengue_MS,
var = c("dengue_cases", "dengue_cases", "tmax"),
type = c("counts", "inc", "cov"),
pop = "population",
var_label = c("Dengue Cases", "Dengue inc", "Max Temp"),
palette = c("Reds", "Blues", "Viridis"),
map = map_MS,
map_area = "code",
time = "date",
area = "micro_code")
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