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https://github.com/ITSLeeds/pctCorridors

Place to extract estimates of potential cycling levels along 'corridors' - clusters of origin and destination zones
https://github.com/ITSLeeds/pctCorridors

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Place to extract estimates of potential cycling levels along 'corridors' - clusters of origin and destination zones

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---
output: github_document
---

```{r}
# set-up:
# get data from: http://wicid.ukdataservice.ac.uk/cider/wicid/downloads.php
library(tidyverse)
library(stplanr)
library(sf)
library(tmap)
ttm()
```

Aim: Plot from the MSOAs below as origins, through to Bradford 039 (E02002221):

Input data:

```{r}

unzip("wu02ew_v2.zip")
od_all = read_csv("wu02ew_v2.csv")
```

```{r}
zones_origin = c("E02002197",
"E02002204",
"E02002200",
"E02002202",
"E02002207",
"E02002216"
)
zones_destination = "E02002221"
od_all_small = od_all %>%
filter(`Area of residence` %in% zones_origin &
`Area of workplace` %in% zones_destination
)
```

```{r}
z = read_sf("https://github.com/npct/pct-outputs-regional-notR/raw/master/commute/msoa/west-yorkshire/z.geojson")
desire_lines = od2line(flow = od_all_small, z)
desire_lines$distance = as.numeric(st_length(desire_lines)) / 1000
mapview::mapview(desire_lines, zcol = "All categories: Age 16 and over")
# tm_shape(desire_lines) +
# tm_lines(col = "All categories: Age 16 and over")
d = desire_lines %>%
select(
`Area of workplace`,
commutes = `All categories: Age 16 and over`,
distance) %>%
st_drop_geometry()
knitr::kable(d)

sum(d$commutes)
```

Result: http://rpubs.com/RobinLovelace/470831