remove duplicate bikelts chunk
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@ -112,25 +112,6 @@ for(i in addresses_near$number) {
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routes <- bind_rows(routes)
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routes <- bind_rows(routes)
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```
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```
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## Bike Level of Traffic Stress (LTS)
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```{r bikelts, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
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bike_lts <- st_read("data/bike_lts/bike_lts_DANE.geojson")
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# make lts attribute a factor
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bike_lts[["lts"]] <- as.factor(bike_lts$LTS_F)
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# remove segments with an LTS value of 9
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bike_lts <- bike_lts %>% filter(lts != 9)
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# set color scale
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bike_lts_scale <- data.frame(code = c(1, 2, 3, 4, 9),
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color = c("#1a9641",
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"#a6d96a",
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"#fdae61",
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"#d7191c",
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"#d7191c"))
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routes <- bind_rows(routes)
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```
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## Combine routes with Bike LTS
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## Combine routes with Bike LTS
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```{r routeslts, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
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```{r routeslts, eval = TRUE, echo = TRUE, results = "show", warning = FALSE, error = TRUE, message = FALSE}
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