mapview::mapviewOptions(leafletWidth = 700, leafletHeight = 300) knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
library(rgeomex)
Para extraer los sectores de una localidad urbana de interes se usa la función función extract_sectores ó puede extraerse con unas líneas de código. La función extract_sectores tiene dos argumentos, uno para definir la clave del estado (cve_edo) y el otro para definir el nombre de la localidad de acuerdo al INEGI 2020 (locality). La función regresa una lista con dos elementos, un elemento corresponde a la localidad (locality) y el otro elemento corresponde a las manzanas.
x <- rgeomex::extract_sectores(cve_edo = "14", locality = c("Guadalajara", "Zapopan", "Tonalá", "Tlaquepaque")) mapview::mapview(x$sectores, legend = FALSE, col.regions = "#E01A59")
# Step 1. load the locality locality <- rgeomex::extract_locality(cve_edo = "14", locality = c("Guadalajara", "Zapopan", "Tonalá", "Tlaquepaque")) # Step 2. load the blocks sectores <- rgeomex::sectores_ine20_mx_b |> sf::st_make_valid() # Step 3. extract the blocks of locality sectores_locality <- sectores[locality,] # Step 4. check the step 3. mapview::mapview(sectores_locality, legend = FALSE, col.regions = "#E01A59")
# Step 1. extract the blocks of locality x <- rgeomex::extract_sectores(cve_edo = "09", locality = "cdmx") # Step 4. check the step 1. mapview::mapview(x$sectores, legend = FALSE, col.regions = "#E01A59")
# Step 1. load the locality locality <- rgeomex::loc_inegi19_mx |> dplyr::filter(CVE_ENT == "09") # Step 2. load the blocks sectores <- rgeomex::sectores_ine20_mx_a |> sf::st_make_valid() # Step 3. extract the blocks of locality sectores_locality <- sectores[locality, ] # Step 4. check the step 3. mapview::mapview(sectores_locality,legend = FALSE, col.regions = "#E01A59")
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