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ca_local

SpatialPointsDataFrame representing road traffic deaths


Description

This dataset represents the type of data downloaded and cleaned using stplanr functions. It represents a very small sample (with most variables stripped) of open data from the UK's Stats19 dataset.

Usage

data(ca_local)

Format

A SpatialPointsDataFrame with 11 rows and 2 columns

Examples

## Not run: 
# Generate data
ac <- read_stats19_ac()
ca <- read_stats19_ca()
ve <- read_stats19_ve()
library(dplyr)
ca_ac <- inner_join(ca, ac)
ca_cycle <- ca_ac %>%
  filter(Casualty_Severity == "Fatal" & !is.na(Latitude)) %>%
  select(Age = Age_of_Casualty, Mode = Casualty_Type, Longitude, Latitude)
ca_sp <- sp::SpatialPointsDataFrame(coords = ca_cycle[3:4], data = ca_cycle[1:2])
data("route_network")
proj4string(ca_sp) <- proj4string(route_network)
bb <- bb2poly(route_network)
ca_local <- ca_sp[bb, ]

## End(Not run)

stplanr

Sustainable Transport Planning

v0.8.2
MIT + file LICENSE
Authors
Robin Lovelace [aut, cre] (<https://orcid.org/0000-0001-5679-6536>), Richard Ellison [aut], Malcolm Morgan [aut] (<https://orcid.org/0000-0002-9488-9183>), Barry Rowlingson [ctb], Nick Bearman [ctb], Nikolai Berkoff [ctb], Scott Chamberlain [rev] (Scott reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/10), Mark Padgham [ctb], Andrea Gilardi [ctb] (<https://orcid.org/0000-0002-9424-7439>)
Initial release

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