Zones of administrative (MSOA) zones in Leeds, UK — zones

This dataset contains polygons and Census travel to work data associated with administrative (MSOA) zones in Leeds, UK

zones_leeds

Format

A spatial (sf) data frame with 107 rows and 15 variables (modes same as od_leeds dataset).

geo_code: character geo_code of the unique zones
dutch_slc: Number who cycle to work under the PCT's Go Dutch scenario

Examples

zones_leeds
#> Simple feature collection with 107 features and 14 fields
#> geometry type:  POLYGON
#> dimension:      XY
#> bbox:           xmin: -1.800362 ymin: 53.699 xmax: -1.292229 ymax: 53.94589
#> geographic CRS: WGS 84
#> # A tibble: 107 x 15
#>    geo_code geo_name lad11cd lad_name   all bicycle  foot car_driver
#>    <chr>    <chr>    <chr>   <chr>    <dbl>   <dbl> <dbl>      <dbl>
#>  1 E020023… Leeds 0… E08000… Leeds     2809      52   300       2170
#>  2 E020023… Leeds 0… E08000… Leeds     2387      53   469       1573
#>  3 E020023… Leeds 0… E08000… Leeds     2471      39   341       1666
#>  4 E020023… Leeds 0… E08000… Leeds     3743      80   529       2340
#>  5 E020023… Leeds 0… E08000… Leeds     2995      53   170       2421
#>  6 E020023… Leeds 0… E08000… Leeds     3056      33   106       2549
#>  7 E020023… Leeds 0… E08000… Leeds     2690      35    94       2178
#>  8 E020023… Leeds 0… E08000… Leeds     3187      31   238       2222
#>  9 E020023… Leeds 0… E08000… Leeds     3155      52   343       2024
#> 10 E020023… Leeds 0… E08000… Leeds     2501      41   360       1552
#> # … with 97 more rows, and 7 more variables: car_passenger <dbl>,
#> #   motorbike <dbl>, train_tube <dbl>, bus <dbl>, taxi_other <dbl>,
#> #   dutch_slc <dbl>, geometry <POLYGON [°]>
dim(zones_leeds)
#> [1] 107  15
library(sf)
plot(zones_leeds)
#> Warning: plotting the first 9 out of 14 attributes; use max.plot = 14 to plot all