join_data: Join external data

In brazilmaps: Brazilian Maps from Different Geographic Levels

Description

A wrapper around dplyr's join in order to facilitate the analysis on the maps from this package

Usage

join_data(map, data, by = NULL)

Arguments

map	An object of class 'sf', 'SpatialPolygonsDataFrame' or 'data.frame'
data	A data.frame object with the data to join
by	A character vector of variables to join by. If NULL, the default, will do a natural join, using all variables with common names across the two tables. See dplyr's join to more information.

Value

The function returns a 'sf', 'SpatialPolygonsDataFrame' or 'data.frame' object depending of the class of the map argument informed

Author(s)

Renato Prado Siqueira <[e-mail]>

See Also

get_brmap

Examples

# Joining population estimates data to the year of 2017
data("pop2017")
municipios <- get_brmap(geo = "City", geo.filter = list(Region = 5),
                        class = "SpatialPolygonsDataFrame")

municipios <- join_data(municipios, pop2017, by = c("City" = "mun"))

brazilmaps documentation built on May 2, 2019, 3:04 a.m.