# NOT RUN {
# Do not run
library(sf)
# Download OSM streets
streets <- st_read("path")
streets <- streets[streets$highway != "residential", ]
# Grid
grid <- gridInfo(paste(system.file("extdata", package = "EmissV"),"/wrfinput_d02",sep=""))
names(grid)
d3 <- data.frame(x = as.numeric(grid$Lon),
y = as.numeric(grid$Lat))
d3 <- st_as_sf(d3, coords = c("x","y"))
st_crs(d3) <- st_crs(4326)
library(vein)
g <- st_transform(st_as_sf(vein::make_grid(as(st_transform(d3, 31983),
"Spatial"),
grid$DX*1000, grid$DX*1000, T)), 4326)
streets$id <- NULL
per <- c(1, 0, 0, 0, 0)
teste <- streetDist(emission = 1000000, dist = per, grid = g,
osm = streets, epsg = 31983)
# Another example:
library (EmissV)
library (osmdata)
library (sf)
city <- "accra"
bb <- getbb (city)
dat <- opq (bbox = city) %>%
add_osm_feature (key = "highway") %>%
osmdata_sf (quiet = FALSE) %>%
osmdata::osm_poly2line () %>%
magrittr::extract2 ("osm_lines")
#saveRDS (dat, file = "accra-hw.Rds")
utm <- 32630 # for Accra
# Get a raster grid of population density to use for the emission distribution:
url <- paste0 ("https://github.com/ATFutures/who-data/releases/download/",
"v0.0.2-worldpop-tif-gha-npl/accra.2fpopdens.2fGHA15adj_040213.tif")
download.file (url, "accra-pop.tif", mode = "wb")
ras <- raster::raster ("accra-pop.tif") %>%
raster::crop (raster::extent (bb)) %>%
as ("SpatialPolygons") %>%
st_as_sf ()
#dat <- readRDS (file = "accra-hw.Rds")
dat <- dat[dat$highway %in% c ("motorway", "trunk", "primary",
"secondary", "teritary"), ]
s <- streetDist (emission = 1, dist = c (1, 0, 0, 0, 0), grid = ras,
osm = dat, epsg = utm)
# }
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