UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Modelling Population Flows Using Spatial Interaction Models

Dennett, AR; (2018) Modelling Population Flows Using Spatial Interaction Models. Australian Population Studies , 2 (2) pp. 33-58. Green open access

[thumbnail of Dennett_38-41-115-1-10-20181111.pdf]
Preview
Text
Dennett_38-41-115-1-10-20181111.pdf - Published Version

Download (1MB) | Preview

Abstract

BACKGROUND: Spatial Interaction Models have been used for decades to explain and predict flows (of migrants, capital, traffic, trade etc.) between geographic locations. AIMS: This paper will guide users through the process of fitting and calibrating spatial interaction models in order to understand, explain and predict internal migration flows in Australia. DATA AND METHODS: Internal migration data from the Australian 2011 Census of Population and Housing, which records people who have moved between Greater Capital City Statistical Areas over 5-year periods, is used to exemplify the modelling process. The R statistical software is used to process and visualise the data as well as run the models. RESULTS: The full suite of Wilson’s family of spatial interaction models is fitted to the internal migration data, revealing that distance and origin/destination populations are some of the most important influencing factors affecting internal migration flows. We see whether constraining the model to known flows about origins and/or destinations will improve the fits and model estimates. CONCLUSIONS: Spatial interaction modelling has been a tool in the box of some population geographers for a number of decades. However, recent advances in more forgiving programming languages such as R and Python now mean that this powerful modelling methodology is no longer only available to those who also possess advanced computer programming skills. This guide has exemplified the process of fitting and calibrating spatial interaction models on Australian internal migration data, but the methods could easily be applied to other flow data sets in other contexts.

Type: Article
Title: Modelling Population Flows Using Spatial Interaction Models
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.australianpopulationstudies.org/index.p...
Language: English
Additional information: © Dennett 2018. Published under the Creative Commons Attribution-NonCommercial licence 3.0 Australia (CC BY-NC 3.0 AU) https://creativecommons.org/licenses/by-nc/3.0/au/
Keywords: Spatial Interaction Model, Gravity Model, Migration, R, Estimation, Visualisation, Census, Australia
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
URI: https://discovery.ucl.ac.uk/id/eprint/10052338
Downloads since deposit
269Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item