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The data are collected inthe Atlas of condition indices published by the Joao Pinheiro Foundation and UNDP.

Format

A shape polygon object with seven variables:

id

The identificator

Name

Name of city

Population

The population of city

HLCI

Health Life Condition Index

ELCI

Education Life Condition Index

CLCI

Children Life Condition Index

ELCI

Economic Life Condition Index

Examples

(GDAL37 <- as.numeric_version(unname(sf_extSoftVersion()["GDAL"])) >= "3.7.0")
#> [1] TRUE
file <- "etc/shapes/bhicv.gpkg.zip"
zipfile <- system.file(file, package="spdep")
if (GDAL37) {
    bh <- st_read(zipfile)
} else {
    td <- tempdir()
    bn <- sub(".zip", "", basename(file), fixed=TRUE)
    target <- unzip(zipfile, files=bn, exdir=td)
    bh <- st_read(target)
}
#> Reading layer `bhicv' from data source 
#>   `/tmp/RtmpXVTJuL/temp_libpath3b356d487bad39/spdep/etc/shapes/bhicv.gpkg.zip' 
#>   using driver `GPKG'
#> Simple feature collection with 98 features and 8 fields
#> Geometry type: POLYGON
#> Dimension:     XY
#> Bounding box:  xmin: -45.02175 ymin: -20.93007 xmax: -42.50321 ymax: -18.08342
#> Geodetic CRS:  Corrego Alegre 1970-72