This function downloads a .csv file representing movement
between MSOA zones in England and Wales.
By default it returns national data, but
region can be set to subset the output to a specific
local authority or region.
get_od(
region = NULL,
n = NULL,
type = "within",
omit_intrazonal = FALSE,
base_url = paste0("https://s3-eu-west-1.amazonaws.com/",
"statistics.digitalresources.jisc.ac.uk", "/dkan/files/FLOW/"),
filename = "wu03ew_v2",
u = NULL
)The PCT region or local authority to download data from (e.g. west-yorkshire or Leeds).
See View(pct_regions_lookup) for a full list of possible region names.
top n number of destinations with most trips in the 2011 census
within the region.
the type of subsetting: one of from, to or within, specifying how
the od dataset should be subset in relation to the region.
should intrazonal OD pairs be omited from result?
FALSE by default.
the base url where the OD dataset is stored
the name of the file to download, if not the default MSOA level data.
full url of file to download
OD datasets available include wu03uk_v3 and others listed on the Wicid website.
# \donttest{
get_od("wight", n = 3)
#> Rows: 2402201 Columns: 14
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (2): Area of residence, Area of workplace
#> dbl (12): All categories: Method of travel to work, Work mainly at or from h...
#>
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> Rows: 7201 Columns: 6
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (2): MSOA11CD, MSOA11NM
#> dbl (4): BNGEAST, BNGNORTH, LONGITUDE, LATITUDE
#>
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> # A tibble: 3 × 18
#> geo_code1 geo_code2 all from_home light_rail train bus taxi motorbike
#> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 E02003592 E02003592 1164 0 0 1 41 3 10
#> 2 E02003589 E02003589 875 0 0 0 12 1 8
#> 3 E02003591 E02003589 852 0 0 1 6 0 11
#> # ℹ 9 more variables: car_driver <dbl>, car_passenger <dbl>, bicycle <dbl>,
#> # foot <dbl>, other <dbl>, geo_name1 <chr>, geo_name2 <chr>, la_1 <chr>,
#> # la_2 <chr>
get_od()
#> No region provided. Returning national OD data.
#> Rows: 2402201 Columns: 14
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (2): Area of residence, Area of workplace
#> dbl (12): All categories: Method of travel to work, Work mainly at or from h...
#>
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> Rows: 7201 Columns: 6
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (2): MSOA11CD, MSOA11NM
#> dbl (4): BNGEAST, BNGNORTH, LONGITUDE, LATITUDE
#>
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> # A tibble: 2,402,201 × 18
#> geo_code1 geo_code2 all from_home light_rail train bus taxi motorbike
#> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 E02000001 E02000001 1506 0 73 41 32 9 1
#> 2 E02000001 E02000014 2 0 2 0 0 0 0
#> 3 E02000001 E02000016 3 0 1 0 2 0 0
#> 4 E02000001 E02000025 1 0 0 1 0 0 0
#> 5 E02000001 E02000028 1 0 0 0 0 0 0
#> 6 E02000001 E02000051 1 0 1 0 0 0 0
#> 7 E02000001 E02000053 2 0 2 0 0 0 0
#> 8 E02000001 E02000057 1 0 1 0 0 0 0
#> 9 E02000001 E02000058 1 0 0 0 0 0 0
#> 10 E02000001 E02000059 1 0 0 0 0 1 0
#> # ℹ 2,402,191 more rows
#> # ℹ 9 more variables: car_driver <dbl>, car_passenger <dbl>, bicycle <dbl>,
#> # foot <dbl>, other <dbl>, geo_name1 <chr>, geo_name2 <chr>, la_1 <chr>,
#> # la_2 <chr>
get_od(filename = "wu03uk_v3")
#> No region provided. Returning national OD data.
#> Rows: 110162 Columns: 14
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (2): Area of usual residence, Area of workplace
#> dbl (12): All categories: Method of travel to work, Work mainly at or from h...
#>
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> # A tibble: 110,162 × 14
#> `` geo_code2 all from_home light_rail train bus taxi motorbike
#> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 95AA 95AA 9465 0 0 12 243 421 58
#> 2 95AA 95BB 107 0 0 0 1 2 0
#> 3 95AA 95CC 42 0 0 0 1 0 0
#> 4 95AA 95DD 1485 0 0 11 84 13 8
#> 5 95AA 95EE 35 0 0 0 1 0 0
#> 6 95AA 95FF 18 0 0 0 0 0 0
#> 7 95AA 95GG 4538 0 0 165 434 14 23
#> 8 95AA 95HH 139 0 0 1 1 0 0
#> 9 95AA 95II 282 0 0 2 15 0 0
#> 10 95AA 95JJ 108 0 0 15 2 0 0
#> # ℹ 110,152 more rows
#> # ℹ 5 more variables: car_driver <dbl>, car_passenger <dbl>, bicycle <dbl>,
#> # foot <dbl>, other <dbl>
u = "https://www.nomisweb.co.uk/output/census/2011/wf02ew_oa.zip"
# get_od(u = u)
# }