lodes01
Fixing Column Name Issues in ‘sf’
library(sf)
library(tidylodes)
vt_rac <- get_rac_data("de", "2018")
#vt_rac
## Function 1b. Function that converts a cleaned WAC dataset into a simple feature (polygons) for easy plotting/spatial manip.
get_rac_spatialb <- function(df) {
## Stage One - Setting up identifier for TIGRIS
options(tigris_class = "sf")
state_of_interest <- unique(df$StateAbb)
state_of_interest <- stringr::str_to_upper(state_of_interest)
## Stage Two - Extracting census block sf/fixing census geographies
options(tigris_class = "sf")
blocks <- tigris::blocks(state = state_of_interest)
blocks <- blocks[, c("GEOID10","STATEFP10", "COUNTYFP10", "TRACTCE10", "BLOCKCE10")]
names(blocks)[names(blocks)=="GEOID10"] <- "Census_Block_Code"
names(blocks)[names(blocks)=="STATEFP10"] <- "StateID"
names(blocks)[names(blocks)=="COUNTYFP10"] <- "CountyID"
names(blocks)[names(blocks)=="TRACTCE10"] <- "TractID"
names(blocks)[names(blocks)=="BLOCKCE10"] <- "BlockID"
blocks <- transform(blocks, BlockGroupID = substr(BlockID, 1, 1),
CensusBlockID = substr(BlockID, 2, 4))
## Stage Three - Joining WAC data to sf
shp <- merge(blocks, df, by = "Census_Block_Code", all.x = FALSE)
shp <- subset(shp, select = -c(BlockID, StateID.y, CountyID.y, TractID.y, BlockGroupID.y,
CensusBlockID.y))
names(shp)[names(shp)==" StateID.x"] <- "StateID"
names(shp)[names(shp)=="CountyID.x"] <- "CountyID"
names(shp)[names(shp)=="TractID.x"] <- "TractID"
names(shp)[names(shp)=="BlockGroupID.x"] <- "BlockGroupID"
names(shp)[names(shp)=="CensusBlockID.x"] <- "CensusBlockID"
shp <- sf::st_as_sf(shp)
return(shp)
}
vt_rac_sf <- get_rac_spatialb(vt_rac)##
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|======================================================================| 100%#install.packages("tidyverse")
library(tidyverse)
#install.packages("tmap")
library(tmap)
## Subset dataset to specific County & Tract
area_of_interest <- vt_rac_sf %>%
filter(CountyID == "001", TractID == "040100")
## Map
tm_shape(area_of_interest) +
tm_fill(col = "Retail_Trade", style = "jenks",
title = "Retail Trade Jobs", palette = "Greys", n = 5) +
tm_layout(legend.outside = T, frame = FALSE) 
de_tracts <- tigris::counties("de")##
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|======================================================================| 100%tm_shape(de_tracts) +
tm_polygons(col = "white", border.col = "grey", border.alpha = 0.5)+
tm_shape(area_of_interest) +
tm_fill(col = "Retail_Trade", style = "jenks",
title = "Retail Trade Jobs", palette = "Greys", n =4) +
tm_layout(legend.outside = T, frame = FALSE) 