malariaCol: Malaria in Colombia (1998)
In spatialanalysis/geodaData: Spatial Analysis Datasets for Teaching

Description Usage Format Details Source Examples

Malaria incidence in 1998, population in Colombia from 1973, 1995, 1993 censuses, and projected population from 1995 to 2005. Use list2env(malariaCol, .GlobalEnv) to unlist in working environment. The data consist of a list of two objects:

malariaDept A shapefile object of class sf Dataframe with individual Colombian departments.
malariaMunic A shapefile object of class sf Dataframe with Colombian municipalities.

1	malariaCol

malariaMunic includes 1,068 rows, 50 variables, and a geometry column. malariaDept includes 33 rows, 46 variables, and a geometry column:

ID: Sequencial ID
ADM0: Country name
ADM1: Departmentos=States (Administrative level 1)
ADM2: Municipioss=Counties (Administrative level 2)
IDDANE: DANE (Colombian National Bureau of Statistics) code for counties in numeric format
DANECODE: DANE (Colombian National Bureau of Statistics) code for counties in character format
CODDEPT: DANE (Colombian National Bureau of Statistics) code for states
TPyyyy: Total population from census in year 'yyyy' (1973, 1985, and 1993 have census population, the remaning years have projected population)
UPyyyy: Urban population from census in year 'yyyy' (1973, 1985, and 1993 have census population, the remaning years have projected population)
RPyyyy: Rural population from census in year 'yyyy' (1973, 1985, and 1993 have census population, the remaning years have projected population)
MALARI98: Malaria incidence in 1998

List of two Sf objects, unprojected. EPSG 4326: WGS84.

SIVIGILA. Ministerio de Salud, Colombia. There are 3 files for each year from 1995-2005. Projections from Departamento Administrativo Nacional de Estadistica DANE, Colombia https://www.minsalud.gov.co and https://www.dane.gov.co/index.php/estadisticas-por-tema/demografia-y-poblacion/proyecciones-de-poblacion

## Unlist in Global environment
library(geodaData)
data(malariaCol)
list2env(malariaCol, environment())
ls()


## if (requireNamespace("sf", quietly = TRUE)) {
  library(sf)
  data(malariaCol)

  plot(malariaCol[[2]]["MALARI98"])
}