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Using Secondary Data to Measure, Monitor and Visualise Spatio-Temporal Uncertainties in Geodemographics

使用二手数据测量、监测和可视化地理人口统计学中的时空不确定性

基本信息

批准号：
ES/K004719/1
负责人：
Alex Singleton
金额：
$ 18.71万
依托单位：
University of Liverpool
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2013
资助国家：
英国
起止时间：
2013 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=ES%2FK004719%2F1
关键词：
Using Secondary Data Measure Monitor

项目摘要

Geodemographic classifications are categorical summary measures of the built, social and economic characteristics of small geographical areas. There are many geodemographic classifications supplied by both the commercial and non-commercial sectors; however, the most widely used non-commercial geodemographic is the Office for National Statistics (ONS) Output Area Classification (OAC) which was constructed entirely from the 2001 Census data. This classification has generated great impact with a user community drawn principally from across the public sector (www.areaclassification.org). The success and growing user base of 2001 OAC has led to the ONS supporting the construction of a new classification utilising the 2011 Census data once released.A common criticism levied at classifications which are built entirely from Census data is that they are insufficiently contemporary given that collated data are not available for some years after each Census, and, that over time, these data may become increasingly unrepresentative of current population and built structures within small areas. The 2001 OAC methodology contained no mechanism through which these errors could be assessed over time, or for the classification to be reviewed and possibly updated utilising more recent data. As such, within the historical context of the 2001 OAC, this project will integrate secondary data to implement a methodology of screening of small area residential structures over time, and create temporal measures of uncertainty that can be both communicated to policy-practitioner audiences, and furthermore, be utilised to provide updates to the 2001 OAC. This work will establish a methodology which can then be used prospectively in the construction of the 2011 OAC.

地理人口分类是对小地理区域的建筑、社会和经济特征的分类总结措施。商业和非商业部门都提供了许多地理人口分类；然而，最广泛使用的非商业地理人口统计是国家统计局（ONS）产出区域分类（OAC），它完全是根据2001年人口普查数据构建的。这种分类对主要来自公共部门的用户群体产生了巨大影响（www.areaclassification.org）。2001年OAC的成功和不断增长的用户基础促使国家统计局支持利用2011年发布的人口普查数据构建新的分类。对完全根据人口普查数据建立的分类的一种常见批评是，由于每次人口普查后的几年内无法获得整理数据，因此它们不够现代，而且随着时间的推移，这些数据可能越来越不能代表当前人口和小区域内的建筑结构。2001年OAC的方法不包含可以随着时间推移对这些错误进行评估的机制，也不包含可以利用最新数据对分类进行审查和更新的机制。因此，在2001年OAC的历史背景下，该项目将整合二手数据，以实施一种随时间推移筛选小面积住宅结构的方法，并创建不确定性的时间度量，既可以传达给政策实践者受众，又可以用于为2001年OAC提供更新。这项工作将建立一种方法，然后可以在2011年OAC的建设中使用。