ÿþ<!DOCTYPE HTML PUBLIC '-//W3C//DTD HTML 4.01//EN'> <html><head><title>Title Page</title><meta http-equiv='Content-Type' content='text/html; charset=iso-8859-1'><style type='text/css'>h1 { margin:0px 0px 0px 0px; padding:0px; font-size:large; font-weight:900; font-family:verdana, arial, helvetica, sans-serif; text-align:center; color:#000; }h2 { font-size:medium; font-weight:900; font-family:verdana, arial, helvetica, sans-serif; margin:10px 0px -2px 0px; padding:0px; color:#000; }h2.myclass { font-size:medium; font-weight:900; font-family:verdana, arial, helvetica, sans-serif; margin:10px 0px -2px 0px; padding:0px; color:#000; text-align:center;}h3 { font-size:13px; font-weight:700; font-family:verdana, arial, helvetica, sans-serif; margin:0px 0px -1px 0px; padding:0px; color:#07a; }h3.myclass { font-size:13px; font-weight:700; font-family:verdana, arial, helvetica, sans-serif; margin:0px 0px -1px 0px; padding:0px; color:#07a; text-align:center;}h4 { font-size:x-large; font-family:garamond, serif; color:#09f; text-align:center; margin:0px 0px 5px 0px; padding:0px;}h5 { font-size:13px; font-family:verdana, arial,sans-serif; font-weight:600; margin:0px 0px 5px 50px; padding:0px;}i.myclass{color:#07a;}</style></head><body> <H1> Geographically Varying Correlates of Car Non-Ownership in Census Output Areas of England, 2001 </H1> <H3 class='myclass'> UKDA study number:6100</h3> <H2 class='myclass'>Principal Investigators </H2> <H3 class='myclass'> Harris, R.<br>University of Bristol. School of Geographical Sciences<br>Grose, D.<br>Lancaster University. Centre for e-Science<br> </H3> <H2 class='myclass'>Sponsor</H2> <H3 class='myclass'>Economic and Social Research Council<br></H3> <H2 class='myclass'>Distributed by</H2> <H3 class='myclass'>UK Data Archive, University of Essex, Colchester.</H3> <H3 class='myclass'> April 2009 </H3> <div style='page-break-before:always'></div> <H1>&nbsp;</H1><H1>Bibliographic Citation</H1> <H5> All works which use or refer to these materials should acknowledge these sources by means of bibliographic citation. To ensure that such source attributions are captured for bibliographic indexes, citations must appear in footnotes or in the reference section of publications. The bibliographic citation for this data collection is: </h5> <H5> Harris, R. and Grose, D., <i> Geographically Varying Correlates of Car Non-Ownership in Census Output Areas of England, 2001</i> [computer file]. Colchester, Essex: UK Data Archive [distributor], April 2009. SN: 6100, http://dx.doi.org/10.5255/UKDA-SN-6100-1. </h5><H1>&nbsp;</H1> <H1 >Acknowledgement</h1> <h5> Any publication, whether printed, electronic or broadcast, based wholly or in part on these materials, should acknowledge the original data creators, depositors or copyright holders, the funders of the Data Collections (if different) and the UK Data Archive, and to acknowledge Crown Copyright where appropriate. <br> Any publication, whether printed, electronic or broadcast, based wholly or in part on these materials should carry a statement that the original data creators, depositors or copyright holders, the funders of the Data Collections (if different) and the UK Data Archive bear no responsibility for their further analysis or interpretation. </h5><H5>&nbsp;</H5> <h5><b>Copyright: </b><br> R. Harris </h5><H1>&nbsp;</H1> <H1>Disclaimer</H1> <h5> Although all efforts are made to ensure the quality of the materials, neither the original data creators, depositors or copyright holders, the funders of the Data Collections, nor the UK Data Archive bear any responsibility for the accuracy or comprehensiveness of these materials.<br> </h5><h5>&nbsp;</h5><h5>All rights reserved. No part of these materials may be reproduced, stored in, or introduced into a retrieval system, or transmitted, in any form, or by any means (electronic, mechanical, photocopying, recording or otherwise) without the prior written permission of the UK Data Archive.<br><br>UK Data Archive<br> University of Essex<br> Wivenhoe Park<br> Colchester<br> Essex C04 3SQ<br> United Kingdom<br>www.data-archive.ac.uk <br><br> </h5> <h2 style='page-break-before:always'> 6100 . Geographically Varying Correlates of Car Non-Ownership in Census Output Areas of England, 2001<br> (Grid Enabled Spatial Regression Models) </h2><h3>&nbsp;</h3> <h3>Depositor:</h3> <h5>Harris, R. , University of Bristol. School of Geographical Sciences</h5> <h3>Principal Investigators:</h3> <h5>Harris, R. , University of Bristol. School of Geographical Sciences</h5> <h5>Grose, D. , Lancaster University. Centre for e-Science</h5> <H3>Sponsor:</H3><H5> Economic and Social Research Council<br> <i class='myclass'> Grant Number:</i> RES-149-25-1041 </H5> <h3> Abstract: </h3> <h5>Standard indexes of poverty and deprivation are rarely sensitive to how the causes and consequences of deprivation have different impacts depending upon where a person lives. More geographically minded approaches are alert to spatial variations but are also difficult to compute using desktop PCs.<br> <br> The aim of the ESRC sponsored project was to develop a method of spatial analysis known as  geographically weighted regression (GWR) to run in the high power computing environment offered by  Grid computation and e-social science. GWR, like many other methods of spatial analysis, is characterised by multiple repeat testing as the data are divided into geographical regions and also randomly redistributed many times to simulate the likelihood that the results obtained from the analysis are actually due to chance. Each of these tests requires computer time so, given a large dataset such as the UK Census statistics, running the analysis on a standard machine can take a long time! Fortunately, the computational grid is not standard but offers the possibility to speed up the process by running GWR s sequences of calibration, analysis and non-parametric simulation in parallel.<br> <br> An output is a model of the geographically varying correlates of car non-ownership fitted for the 165,665 Census Output Areas in England. Specifically, a geographically weighted regression of the relationship between the proportion of households without a car (or van) in 2001 (the dependent variable), and the following predictor variables: proportion of persons of working age unemployed; proportion of households in public housing; proportion of households that are lone parent households; proportion of persons 16 or above that are single; and proportion of persons that are white British.<br> <br> Note - the file does not contain Census 2001 data, only National Grid references and regression coefficients.<br> <br> Further information is available from the <a href="http://www.esrcsocietytoday.ac.uk/esrcinfocentre/viewawardpage.aspx?awardnumber=RES-149-25-1041" title ="ESRC Award">ESRC Award</a> web page.<br></h5><h3>Main Topics:</h3><h5>Investigating the spatially varying correlates of car non-ownership using GWR.</h5> <h3>Coverage: </h3><h5> <br><i class='myclass'>Dates of Fieldwork: </i> 2001 <br><i class='myclass'>Country: </i> England <br><i class='myclass'>Spatial Units: </i> National Grid references <br><i class='myclass'>Observation Units: </i> Administrative units (geographical/political) <br><i class='myclass'>Kind of Data: </i> Numeric data; Aggregate (macro) level </h5> <h3>Universe Sampled: </h3><h5> <i class='myclass'>Location of Units of Observation:</i> National <br><i class='myclass'>Population:</i> The geographically varying correlates of car non-ownership in England, 2001. </h5> <h3>Methodology: </h3><h5> <i class='myclass'>Time Dimensions: </i> Cross-sectional (one-time) study <br><i class='myclass'>Sampling Procedures: </i> No sampling (total universe)<br> Secondary analysis of Census 2001 data. <br><i class='myclass'>Number of Units:</i> 165,665 <br><i class='myclass'>Method of Data Collection: </i> Compilation or synthesis of existing material <br><i class='myclass'>Data Sources: </i> Census 2001 <br><i class='myclass'>Weighting: </i> No weighting used </h5><h3>Language(s) of Written Materials: </h3> <h5>Study Description: English<br>Study Documentation: English<br></h5> <h3>Access: </h3><h5> <i class='myclass'>Access Conditions: </i> The depositor has specified that registration is required and standard conditions of use apply. The depositor may be informed about usage. See <a href='http://www.data-archive.ac.uk/orderingdata/termsandConditions.asp'>terms and conditions</a> for further information. <br><i class='myclass'>Availability: </i> ESDS Access and Preservation, UK Data Archive <br><i class='myclass'>Contact: </i></b> Help desk: help@esds.ac.uk<br> </h5> <h3>Date of First Release:</h3><h5> 2 April 2009<br></h5> <h3> Copyright: </h3> <h5> R. Harris</h5> <br><br> <h3> File last updated: </h3> <h5>31 October 2011</h5> </body></html>