Closed layik closed 4 years ago
Happy to put in a PR.
df = read.csv("https://www.arcgis.com/sharing/rest/content/items/b684319181f94875a6879bbc833ca3a6/data") class(df); names(df) #> [1] "data.frame" #> [1] "GSS_CD" "GSS_NM" "TotalCases" # get LAs folder = "/tmp/Counties_and_UA" if(!dir.exists(folder)) { dir.create(folder) } url = "https://opendata.arcgis.com/datasets/658297aefddf49e49dcd5fbfc647769e_1.zip" las_shape = list.files(folder, pattern = "shp")[1] if(!file.exists(file.path(folder, las_shape))) { download.file(url, destfile = file.path(folder, "data.zip")) unzip(file.path(folder, "data.zip"), exdir = folder) las_shape = list.files(folder, pattern = "shp")[1] } library(sf) #> Linking to GEOS 3.6.2, GDAL 2.2.3, PROJ 4.9.3 las = st_read(file.path(folder, las_shape)) #> Reading layer `Counties_and_Unitary_Authorities_December_2017_Full_Extent_Boundaries_in_UK_WGS84' from data source `/tmp/Counties_and_UA/Counties_and_Unitary_Authorities_December_2017_Full_Extent_Boundaries_in_UK_WGS84.shp' using driver `ESRI Shapefile' #> Simple feature collection with 217 features and 10 fields #> geometry type: MULTIPOLYGON #> dimension: XY #> bbox: xmin: -8.650007 ymin: 49.86464 xmax: 1.768912 ymax: 60.86077 #> epsg (SRID): 4326 #> proj4string: +proj=longlat +datum=WGS84 +no_defs m = match(tolower(df$GSS_NM), tolower(las$ctyua17nm)) df = df[df$GSS_NM %in% las$ctyua17nm, ] m = m[!is.na(m)] stopifnot(!any(is.na(m))) sfc = st_geometry(las[m,]) covid19 = st_as_sf(df, geom=sfc) plot(covid19[,"TotalCases"])
Created on 2020-03-24 by the reprex package (v0.3.0)
Already in use over at eAtlas
I think this is total UK cases and not daily estimates so not directly of use to use. Closing for now. Feel free to open if I have misunderstood.
Happy to put in a PR.
Created on 2020-03-24 by the reprex package (v0.3.0)
Already in use over at eAtlas