od_filter

This function takes and OD dataset and a character vector of codes
and returns an OD dataset with rows matching origin and destinations
zones present in the codes.

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_filter function

<dl><dt>x</dt>
<dd>A data frame in which the first two columns are codes
representing points/zones of origin and destination</dd>
<dt>codes</dt>
<dd>The zone codes that must be in origins and destination</dd>
<dt>silent</dt>
<dd>Hide messages? <code>FALSE</code> by default.</dd></dl>

Arguments

Filter OD datasets — od_filter

<dl>

<dt>x</dt>
<dd>A data frame in which the first two columns are codes
representing points/zones of origin and destination</dd>


<dt>codes</dt>
<dd>The zone codes that must be in origins and destination</dd>


<dt>silent</dt>
<dd>Hide messages? <code>FALSE</code> by default.</dd>

</dl>

od_filter: Filter OD datasets

Description

Usage

Value

Arguments

Examples