changed from segments to lat lon buckets
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@ -146,11 +146,17 @@ for (route in unique(routes_categorized$name)){
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theme(axis.text=element_blank(),
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axis.ticks=element_blank(),
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plot.caption = element_text(color = "grey")) +
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geom_sf(data = metro_segments %>% filter(name %in% route),
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geom_tile(data = metro_summary %>%
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filter(name %in% route) %>%
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group_by(lon_bucket, lat_bucket) %>%
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summarise(spd_calc = weighted.mean(spd_calc, trip_count)),
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inherit.aes = FALSE,
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aes(color = spd_calc),
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linewidth = 1) +
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scale_color_distiller(palette = "RdYlGn", direction = "reverse", limits = c(0,70), name = "Average speed or segment\n(calculated with locations, not reported speed)")
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aes(x = lon_bucket,
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y = lat_bucket,
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fill = spd_calc,
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height = lat_round,
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width = lon_round)) +
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scale_fill_distiller(palette = "RdYlGn", direction = "reverse", limits = c(0,70), name = "Average speed or segment\n(calculated with locations, not reported speed)")
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ggsave(file = paste0("figures/",
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route,
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"_map.pdf"),
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@ -175,3 +181,23 @@ for (route in unique(routes_categorized$name)){
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units = "in",
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create.dir = TRUE)
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}
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# ggmap(basemap) +
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# labs(title = paste0("Metro Route Speed - ", route),
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# subtitle = paste0("averaged between ",
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# sum(route_counts %>% filter(pid %in% route_focus) %>% pull(route_count)),
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# " bus trips - ",
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# min(date(metro_data$time)),
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# " to ",
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# max(date(metro_data$time))),
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# x = NULL,
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# y = NULL) +
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# theme(axis.text=element_blank(),
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# axis.ticks=element_blank(),
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# plot.caption = element_text(color = "grey")) +
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# geom_sf(data = metro_segments %>% filter(name %in% route),
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# inherit.aes = FALSE,
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# aes(color = spd_calc),
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# linewidth = 1) +
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# scale_color_distiller(palette = "RdYlGn", direction = "reverse", limits = c(0,70), name = "Average speed or segment\n(calculated with locations, not reported speed)")
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