accidents_sample
|
Sample of stats19 data (2017 accidents) |
casualties_sample
|
Sample of stats19 data (2017 casualties) |
check_input_file()
|
Local helper to be reused. |
check_year()
|
This is a private function which does two things:
is used to check if there is an overlapping of files with
multiple years. The matching between the years and the files works as follows:
1979 ... 2004 ---> 1979 - 2004
2005 ... 2008 ---> 2005 - 2014
2009 ---> 2009
2010 ---> 2010
2011 ---> 2011
...
2018 ---> 2018
it also does the sanity checking of the year(s) given
|
dl_stats19()
|
Download STATS19 data for a year or range of two years. |
file_names
|
stats19 file names for easy access |
find_file_name()
|
Find file names within stats19::file_names. |
format_accidents()
|
Format STATS19 'accidents' data |
format_casualties()
|
Format STATS19 casualties |
format_column_names()
|
Format column names of raw STATS19 data |
format_ppp()
|
Convert STATS19 data into ppp (spatstat) format. |
format_sf()
|
Format convert STATS19 data into spatial (sf) object |
format_vehicles()
|
Format STATS19 vehicles data |
get_MOT()
|
Download vehicle data from the DVSA MOT API using VRM. |
get_data_directory()
|
Get data download dir |
get_stats19()
|
Download, read and format STATS19 data in one function. |
get_stats19_adjustments()
|
Download and read-in severity adjustment factors |
get_url()
|
Convert file names to urls |
locate_files()
|
Locate a file on disk |
locate_one_file()
|
Pin down a file on disk from four parameters. |
phrase()
|
Generate a phrase for data download purposes |
police_boundaries
|
Police force boundaries in England (2016) |
read_accidents()
|
Read in STATS19 road safety data from .csv files downloaded. |
read_casualties()
|
Read in STATS19 road safety data from .csv files downloaded. |
read_vehicles()
|
Read in stats19 road safety data from .csv files downloaded. |
schema_original
|
Schema for stats19 data (UKDS) |
select_file()
|
Interactively select from options |
set_data_directory()
|
Set data download dir |
stats19_schema
|
Stats19 schema and variables |
vehicles_sample
|
Sample of stats19 data (2017 vehicles) |