get_geos: Get geographical data from GitHub

In baslat/sak: The Swiss Army Knife of R

Get geographical data from GitHub

Description

This function queries my personal GitHub and returns concorded geographic data. It is used to concord geographies in concord_geos, and can be used to get basic meshblock information like category or population estimate.

Usage

get_geos(cols = NULL)

Arguments

cols	(unquoted character vector; default = NULL) the columns to select. They mostly follow the pattern of geo_name_year or geo_code_year, but see details for a full list. If NULL all available columns are returned.

Details

Available columns include ASGS, LGA, UCL, SUA, GCCSA, RA, CED and SED, and more:

• mb_code_2016

• mb_category_name_2016

• sa1_maincode_2016

• sa1_7digitcode_2016

• sa2_maincode_2016

• sa2_5digitcode_2016

• sa2_name_2016

• sa3_code_2016

• sa3_name_2016

• sa4_code_2016

• sa4_name_2016

• gccsa_code_2016

• gccsa_name_2016

• state_code_2016

• state_name_2016

• ucl_code_2016

• ucl_name_2016

• sosr_code_2016

• sosr_name_2016

• sos_code_2016

• sos_name_2016

• sua_code_2016

• sua_name_2016

• lga_code_2018

• lga_name_2018

• poa_code_2016

• ced_code_2018

• ced_name_2018

• sed_code_2020

• sed_name_2020

• ra_code_2016

• ra_name_2016

• area_albers_sqkm

• dwellings

• persons

Value

a tibble with as the columns you asked for the as many rows as needed to fulfil that request (i.e. up to 358,122 rows). Note that dplyr::distinct() is called before returning the results (to minimise redundant results).

Examples

## Not run: 

get_geos(cols = c(
  mb_category_name_2016,
  area_albers_sqkm,
  ced_name_2018,
  persons
))

## End(Not run)

baslat/sak documentation built on April 14, 2025, 4:14 p.m.