Hello, all, I asked a version of this question on the R-sig-geo list, but didn't get any response. I'm asking here in the hopes of a wider audience.
I'm trying to draw US Census map data, fetched with tigris, on top of a base map fetched by the package OpenStreetMap. I'm hoping for the most straight-forward solution. I made significant progress with leaflet(), but didn't need the interactivity of the map. I just need a 2D, static map that I can print and include in a document. Here's some of what I've tried so far: ========================================== library(tidyverse) library(tigris) options(tigris_use_cache = TRUE) library(OpenStreetMap) library(ggplot2) ## Get an Open Street Map: rw_map <- openmap(nw, se, type = "osm", mergeTiles = TRUE) %>% openproj(projection = "+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs") ## Get an example census map: rw_tract <- tracts(state = "MD", county = "Baltimore city", year = "2020") %>% filter(NAME == "2711.01") ## This works: autoplot.OpenStreetMap(rw_map) ## So does this: plot(rw_tract$geometry) ## These don't: autoplot.OpenStreetMap(rw_map) + geom_sf(rw_tract$geometry) ggplot(map_data(rw_map), aes(long, lat)) ggplot(aes(x="long", y="lat")) + geom_sf(rw_map$geometry) ===================================================== I think my problem in part is failing to fully understand the formats of the rw_map and rw_tract containers. rw_tract says it's a simple feature collection, but rw_map just gives me lists of the data. Can anyone help nudge me along in getting my rw_tract to be drawn on my rw_map? Any advice or guidance on putting together map data from different sources? And an over-arching question: Is moving in this direction, with ggplot2, the way you would recommend accomplishing this task? Is there a simpler, more straight-forward way of doing this? Thanks in advance for your help and efforts. -Kevin ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.