Norman, P (1999) Putting Iterative Proportional Fitting on the researcher’s desk. School of Geography, University of Leeds.
Abstract
‘Iterative Proportional Fitting’ (IPF) is a mathematical procedure originally developed to combine the information from two or more datasets. IPF is a well-established technique with the theoretical and practical considerations behind the method thoroughly explored and reported. In this paper the theory of IPF is investigated with a mathematical definition of the procedure and a review of the relevant literature given. So that IPF can be readily accessible to researchers the procedure has been automated in Visual Basic and a description of the program and a ‘User Guide’ are provided. IPF is employed in various disciplines but has been particularly useful in census-related analysis to provide updated population statistics and to estimate individual-level attribute characteristics. To illustrate the practical application of IPF various case studies are described. In the future, demand for individual-level data is thought likely to increase and it is believed that the IPF procedure and Visual Basic program have the potential to facilitate research in geography and other disciplines.
Metadata
Item Type: | Other |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Copyright of the School of Geography, University Of Leeds |
Keywords: | Population Estimates; Interative Proportional Fitting; Census; IPF |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) |
Depositing User: | Mr CIC Carson |
Date Deposited: | 22 Dec 2008 12:29 |
Last Modified: | 03 Nov 2017 17:29 |
Published Version: | http://www.geog.leeds.ac.uk/wpapers/ |
Status: | Published |
Publisher: | School of Geography |
Series Name: | School of Geography Working Paper |
Identification Number: | School of Geography Working Paper 99/03 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:5029 |