Analyzing Spatial Events on Roadways • pavement

Overview

pavement is a package designed to analyze spatial events occurring on roadways. It provides comprehensive toolkit for working with spatial data, empowering users to understand patterns and trends in road-related phenomena.

Installation

You can install the development version of pavement using the following methods:

Using `install.packages()` (R-universe)

# Enable the R-universe
options(repos = c(
  nononoexe = "https://nononoexe.r-universe.dev",
  cran = "https://cloud.r-project.org"
))

# Install the package
install.packages("pavement")

Using `pak`

# install.packages("pak")
pak::pak("nononoexe/pavement")

Usage

This example demonstrates how to visualize the distribution of roads and traffic accidents using pavement:

library(pavement)

segmented_network <- sample_roads |>
  create_road_network() |>
  set_events(sample_accidents) |>
  create_segmented_network(segment_length = 0.5) |>
  convolute_segmented_network()

plot(segmented_network, mode = "event")

A map showing a road network with individual points plotted along the lines, representing the locations of traffic accidents.

plot(segmented_network, mode = "count")

A map of a road network where each road segment is colored according to number of accidents it contains. Colors range from yellow for low counts to red for high counts, indicating accident hotspots.

plot(segmented_network, mode = "density")

A map of a road network with a smooth color gradient along the roads, representing the kernel density of accident. The color transitions from yellow in low-density areas to red in high-density areas, highlighting hotspots.

Code of conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

pavement