Package index • pavement

Geospatial data manipulation

Geospatial data provides insights into spatial events such as disasters and crimes through their relationships. These functions facilitate the retrieval and conversion data from OpenStreetMap and other external sources, enabling you to begin your spatial analysis.

fetch_roads(): Download and process OpenStreetMap road data

transform_coordinates() transform_to_cartesian() transform_to_geographic(): Transform to Cartesian or geographic coordinates

create_bbox(): Create a bounding box

convert_bbox() convert_bbox_to_coordinates() convert_bbox_to_polygon(): Convert a bounding box to coordinates or a polygon

Network operations

Network creation

A road network represents a system of interconnected roads, where intersections act as nodes and road segments act as links. create_road_network constructs a road network from road data. For more detailed analysis and visualization, there is also a function, create_segmented_network or spatiotemporal_network, to create a segmented road network.

create_road_network(): Create a road network from roads

create_segmented_network(): Create a segmented road network

create_spatiotemporal_network(): Create spatiotemporal network

plot(<road_network>): Plot a road network

Network information retrieval

These functions provide tools to extract specific information from a road network, enabling you to understand the network structure and relationships.

get_connected_links(): Get connected links from a specified node

Network building utilities

These functions provide tools to create and manipulate road networks.

create_graph(): Create a graph from nodes and links

extract_road_network_nodes(): Extract road network nodes

extract_road_network_links(): Extract road network links

extract_segmented_network_nodes(): Extract nodes of segmented network from a road network

extract_segmented_network_links(): Extract segmented network links from a road network

extract_road_endpoints(): Extract road endpoints

extract_road_intersections(): Extract road intersections

generate_ids(): Generate unique IDs based on parent IDs

Segmented network analysis

Analyzing events on segmented road networks can provide valuable insights into spatial relationships and patterns. By assigning events to network links and leveraging the detailed network structure, you can identify areas with high event frequency with these functions.

create_spatiotemporal_events(): Create a spatiotemporal event collection

create_durations(): Create durations

set_events(): Set events on a space.

find_duration(): Find the index of the duration that contains the event time.

convolute_segmented_network(): Convolute segmented road network

compute_epanechnikov(): Compute the Epanechnikov function

compute_gaussian(): Compute the Gaussian function

create_line_graph(): Create a line graph from a network

Geometry manipulation

Geometric operations are essential for spatial analysis. These functions are helpers for working with sf functions, allowing you to create, modify, and decompose geometries such as points, linestrings, and polygons.

create_coordinates(): Create a collection of coordinates.

create_points(): Create points geometry

create_linestring(): Create a linestring geometry

create_polygon(): Create a polygon geometry

filter_and_cast_geometries() get_points() get_linestrings() get_polygons(): Filter and cast geometries

sample_points_along_linestring(): Sample points along a linestring

filter_points_within_tolerance(): Filter points within a tolerance distance

remove_points_near_endpoints(): Remove points near endpoints of a linestring

decompose_linestring(): Decompose a linestring into a list of line segments

split_linestring(): Split a linestring into multiple segments

Sample data

Pre-generated sample datasets related to roads and accidents. These datasets can be used to immediately begin using pavement.

sample_roads: Sample roads data

sample_accidents: Sample accidents data

osm_highway_values: Values for the 'highway' tag in OpenStreetMap data