Stillwell, J, Daras, K, Bell, M et al. (1 more author) (2014) The IMAGE studio: a tool for internal migration analysis and modelling. Applied Spatial Analysis and Policy, 7 (1). 5 - 23. ISSN 1874-463X
Abstract
This paper presents a 'studio' that facilitates the spatial analysis and modelling of internal migration in any country, dependent upon the provision of an origin-destination matrix of migration flows between a set of basic spatial units plus corresponding populations at risk and digital boundaries. Migration analysts undertaking comparative analysis of internal migration in different countries are confronted with problem that each country has a unique set of sub-national regions. In this paper, we outline the various features of the studio and show how its aggregation and modelling functions have been used to produce substantive results that confront the MAUP challenge. Results show varying systematic trends in the scale and zonation effects of the frictional effect of distance on migration and on the mean distance moved in a selection of northern European countries.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2014, Springer Verlag. This is an author produced version of a paper published in Applied Spatial Analysis and Policy. Uploaded in accordance with the publisher's self-archiving policy. The final publication is available at Springer via http://dx.doi.org/10.1007/s12061-014-9104-4 |
Keywords: | Internal migration; area aggregation; MAUP; Migration indicators; modelling |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 08 Sep 2014 11:19 |
Last Modified: | 18 Jun 2015 17:39 |
Published Version: | http://dx.doi.org/10.1007/s12061-014-9104-4 |
Status: | Published |
Publisher: | Springer Verlag |
Identification Number: | 10.1007/s12061-014-9104-4 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:80436 |