GHR_palette: Generates color palettes including custom, ColorBrewer and colorspace palettes.
GHRexplore-package: A collection of commonly used visualizations of temporal and spatio-temporal health data including case counts, incidence rates, and covariates.
aggregate_cases: Aggregates a data frame containing disease cases in space and/or time.
aggregate_cov: Aggregates a data frame containing a covariate of interest in space and/or time.
dengue_MS: Monthly number of notified dengue cases by municipality in the Mato Grosso do Sul state of Brazil and a set of spatial and spatio-temporal covariates.
dengue_SP: Data frame containing the weekly number of notified dengue cases in the municipality of Sao Paulo , as well as a set of climatic covariates.
map_MS: Administrative boundaries (polygon geometries) of the 11 municipalities in Mato Grosso do Sul (Brazil) to be used with the dengue_MS data set.
plot_bivariate: Plots a bivariate graph to visually assess associations.
plot_combine: Combines plots, each representing one variable, into a single plot.
plot_compare: Combines multiple plots of several variables in a single graph.
plot_correlation: Plots a correlation matrix of a series of variables.
plot_heatmap: Plots temporal heatmaps of covariates, case counts, or incidence rates.
plot_map: Plots a choropleth map of covariates, case counts, or incidence rates.
plot_multiple: Produces a list of multiple plots of the same type, each representing one variable.
plot_seasonality: Plots yearly time series of covariates, case counts, or incidence rates to explore seasonality patterns.
plot_timeseries: Plots time series of covariates, case counts, or incidence rates.
plot_timeseries2: Plots time series of two covariates, case counts, or incidence rates in two different axes.
