Spatial Filters
This lesson is called Spatial Filters, part of the Mapping with R course. This lesson is called Spatial Filters, part of the Mapping with R course.
Transcript
Click on the transcript to go to that point in the video. Please note that transcripts are auto generated and may contain minor inaccuracies.
View code shown in video
library(sf)
library(tidyverse)
library(mapview)
improved_corners <-
read_sf("https://raw.githubusercontent.com/rfortherestofus/mapping-with-r-v2/refs/heads/main/data/improved_corners.geojson")
city_council_districts <-
read_sf("https://raw.githubusercontent.com/rfortherestofus/mapping-with-r-v2/refs/heads/main/data/portland_city_council_districts.geojson")
st_join(
improved_corners,
city_council_districts
) |>
filter(district == "District 1")
district_1_boundaries <-
city_council_districts |>
filter(district == "District 1")
improved_corners |>
st_filter(district_1_boundaries) |>
mapview::mapview()
improved_corners_polygons <-
read_sf("https://raw.githubusercontent.com/rfortherestofus/mapping-with-r-v2/refs/heads/main/data/improved_corners_polygons.geojson")
district_1_corners <-
improved_corners_polygons |>
st_filter(district_1_boundaries)
mapview(district_1_boundaries) +
mapview(district_1_corners)
district_1_corners <-
improved_corners_polygons |>
st_filter(district_1_boundaries, .predicate = st_intersects)
district_1_corners_within <-
improved_corners_polygons |>
st_filter(district_1_boundaries, .predicate = st_within)
mapview(district_1_boundaries) +
mapview(district_1_corners_within)
Your Turn
Use the st_filter()
function to only keep the traffic signals within the Southwest sextant
Learn More
To learn more about the joins and predicates available in st_join()
and st_filter()
, check out this documentation page.
Have any questions? Put them below and we will help you out!
Course Content
23 Lessons
You need to be signed-in to comment on this post. Login.