york_crime: York Crime Locations.

In njtierney/maxcovr: A Set of Tools For Solving The Maximal Covering Location Problem

Description

Crime locations obtained via the ukpolice R package: https://github.com/njtierney/ukpolice, which uses the data made available through the uk crime API:<data.police.uk/docs/>. This data contains public sector information licensed under the Open Government Licence v3.0: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/.

Usage

york_crime

Format

A data frame with variables: category, persistent_id, date, lat, long, street_id, street_name, context, id, location_type, location_subtype, and outcome_status. '

• category: Category of the crime (https://data.police.uk/docs/method/crime-street/)

• persistent_id: 64-character unique identifier for that crime. (This is different to the existing 'id' attribute, which is not guaranteed to always stay the same for each crime.)

• date: Date of the crime YYYY-MM

• latitude: Latitude

• longitude: Longitude

• street_id: Unique identifier for the street

• street_name: Name of the location. This is only an approximation of where the crime happened

• context: Extra information about the crime (if applicable)

• id: ID of the crime. This ID only relates to the API, it is NOT a police identifier

• location_type: The type of the location. Either Force or BTP: Force indicates a normal police force location; BTP indicates a British Transport Police location. BTP locations fall within normal police force boundaries.

• location_subtype: For BTP locations, the type of location at which this crime was recorded.

• outcome_status: The category and date of the latest recorded outcome for the crime

Note

more documentation here: https://data.police.uk/docs/method/crime-street/

For further details, see https://www.york.gov.uk/info/20215/conservation_and_listed_buildings/1346/listed_buildings and https://data.gov.uk/dataset/listed-buildings24/resource/8c32fb55-0e40-457f-98f9-6494503e283b

njtierney/maxcovr documentation built on Nov. 13, 2019, 6:38 p.m.