combine_health_climate_data: Read in and combine climate and health data

Description

Read and combine climate and health data prepared for the spatiotemporal and DLNM analysis.

Usage

combine_health_climate_data(
  health_data_path,
  climate_data_path,
  map_path,
  region_col,
  district_col,
  date_col,
  year_col,
  month_col,
  case_col,
  case_type,
  tot_pop_col,
  tmin_col,
  tmean_col,
  tmax_col,
  rainfall_col,
  r_humidity_col,
  geometry_col,
  runoff_col = NULL,
  ndvi_col = NULL,
  spi_col = NULL,
  max_lag,
  output_dir = NULL
)

Value

A list of dataframes containing the map, nb.map, data, grid_data, summary

Arguments

health_data_path: The path to the health data.
climate_data_path: The path to the climate data.
map_path: The path to the relevant map data.
region_col: Character. Name of the column in the dataframe that contains the region names.
district_col: Character. Name of the column in the dataframe that contains the region names.
date_col: Character. Name of the column in the dataframe that contains the date. Defaults to NULL.
year_col: Character. Name of the column in the dataframe that contains the Year.
month_col: Character. Name of the column in the dataframe that contains the Month.
case_col: Character. Name of the column in the dataframe that contains the disease cases to be considered.
case_type: Character. The type of disease that the case column refers to. Must be one of 'diarrhea' or 'malaria'.
tot_pop_col: Character. Name of the column in the dataframe that contains the total population.
tmin_col: Character. Name of the column in the dataframe that contains the minimum temperature data.
tmean_col: Character. Name of the column in the dataframe that contains the average temperature.
tmax_col: Character. Name of the column in the dataframe that contains the maximum temperature.
rainfall_col: Character. Name of the column in the dataframe that contains the cumulative monthly rainfall.
r_humidity_col: Character. Name of the column in the dataframe that contains the relative humidity.
geometry_col: is the Name of the geometry column in the shapefile (usually "geometry").
runoff_col: Character. Name of the column in the dataframe that contains the monthly runoff water data. Defaults to NULL.
ndvi_col: Character. Name of column containing the Normalized Difference Vegetation Index (ndvi) data. Defaults to NULL.
spi_col: Character. Name of the column in the dataframe that contains the standardized precipitation index. Defaults to NULL.
max_lag: Character. Number corresponding to the maximum lag to be considered for the delay effect. It should be between 2 an 4. Defaults to 2.
output_dir: Path to folder where the processed map data should be saved. Defaults to NULL.