London Fire Data

Provides the compiled dwelling fire data of London in 2015. The data is provided as a SpatialPointsDataFrame in object LondonFire. In addition the boundary and borough information is provided in objects LondonBoundaries and LondonBoroughs. Locations of all fire stations in London of 2015 are provided in object LondonFStations.

data("LondonFire")

Format

The LondonFire data contains the following variables:

arrivaltime:

Numeric, the time after the emergency call until the first fire engine arrived.

daytime:

Numeric, The time of day at which the emergency call was received.

fsintens:

Numeric, the fire station intensity at the location of the fire scene. The intensity is measured using a kernel density estimate of the LondonFStations using the spatstat package.

References

London Fire (2015). London Fire Brigade Incident Records. London Data Store, UK Open Government Licence (OGL v2). https://data.london.gov.uk/dataset/london-fire-brigade-incident-records

London Boroughs/Boundaries (2015). Statistical GIS Boundary Files for London. London Data Store, UK Open Government Licence (OGL v2). https://data.london.gov.uk/dataset/statistical-gis-boundary-files-london

London Fire Stations (2015). London Fire Brigade, https://www.london-fire.gov.uk/. (old url http://www.london-fire.gov.uk/A-ZFireStations.asp)

Taylor BM (2016). Spatial Modelling of Emergency Service Response Times. Journal of the Royal Statistical Society: Series A (Statistics in Society), 180(2), 433--453. doi:10.1111/rssa.12192

Examples

data("LondonFire")
plot(LondonFire, col = "red")
plot(LondonFStations, col = "blue", cex = 1.5, pch = 16, add = TRUE)
plot(LondonBoroughs, lwd = 0.5, add = TRUE)
plot(LondonBoundaries, add = TRUE, lwd = 1.5)

head(LondonFire@data)
#>       arrivaltime   daytime  fsintens
#> 12279    6.033333 0.1263889  248.6067
#> 12280    3.400000 0.3266667 1646.1975
#> 12281    4.383333 0.4641667 1333.3776
#> 12282    5.800000 1.9297222  300.6900
#> 12283    5.133333 1.9308333 1195.7156
#> 12284    4.966667 3.5480556  319.6787