od_sample_vertices

The aim of 'od' is to provide tools and example datasets for
working with origin-destination ('OD') datasets of the type used to
describe aggregate urban mobility patterns (Carey et al. 1981)
<doi:10.1287/trsc.15.1.32>. The package builds on functions for
working with 'OD' data in the package 'stplanr', (Lovelace and Ellison
2018) <doi:10.32614/RJ-2018-053> with a focus on computational
efficiency and support for the 'sf' class system (Pebesma 2018)
<doi:10.32614/RJ-2018-009>. With few dependencies and a simple class
system based on data frames, the package is intended to facilitate
efficient analysis of 'OD' datasets and to provide a place for
developing new functions. The package enables the creation and
analysis of geographic entities representing large scale mobility
patterns, from daily travel between zones in cities to migration
between countries.

Robin Lovelace

Manipulate and Map Origin-Destination Data

Malcolm Morgan

David Cooley

od_sample_vertices function

<dl><dt>x</dt>
<dd>An sf object representing a road network</dd>
<dt>fraction</dt>
<dd>What percent of the network to sample?</dd></dl>

Arguments

Create a subsample of points from a route network for jittering — od_sample_vertices

<dl>

<dt>x</dt>
<dd>An sf object representing a road network</dd>


<dt>fraction</dt>
<dd>What percent of the network to sample?</dd>

</dl>

od_sample_vertices: Create a subsample of points from a route network for jittering

Description

Usage

Arguments

Examples