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June 11, 2022 14:40
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R5R + H3 TTM
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library(tidyverse) | |
my_h3s <- tibble(id = unlist(h3jsr::polyfill(WalesIshOTPGraph:::bounds(), 8))) %>% | |
rowwise() %>% mutate( | |
pnt = h3jsr::h3_to_point(id), | |
plygn = h3jsr::h3_to_polygon(id) | |
) | |
sf::st_geometry(my_h3s) <- my_h3s$pnt | |
options(java.parameters = "-Xmx4G") | |
r5r_core <- r5r::setup_r5("output") | |
ttm <- r5r::travel_time_matrix( | |
r5r_core = r5r_core, | |
origins = my_h3s, | |
destinations = my_h3s, | |
mode = c('WALK', 'TRANSIT'), | |
departure_datetime = lubridate::now(), | |
max_walk_dist = 3000, | |
max_trip_duration = (12*60), | |
verbose = FALSE, | |
breakdown = TRUE | |
) | |
sf::st_geometry(my_h3s) <- my_h3s$plygn | |
my_plt <- ggplot() + | |
geom_sf(data = my_h3s %>% left_join(ttm %>% filter(toId == "88195ab685fffff"), by=c("id"="fromId")), aes(fill=travel_time), lwd=0) + | |
geom_sf(data = my_h3s %>% filter(id == "88195ab685fffff"), fill='red', lwd=0) + | |
scale_fill_viridis_b() + theme_minimal() | |
ggsave("temp.png", my_plt) | |
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